SAIVT-Campus Dataset

Overview

The SAIVT-Campus Database is an abnormal event detection database captured on a university campus, where the abnormal events are caused by the onset of a storm. Contact Dr Simon Denman or Dr Jingxin Xu for more information.

Licensing

The SAIVT-Campus database is © 2012 QUT and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Australia License.

Attribution

To attribute this database, please include the following citation: Xu, Jingxin, Denman, Simon, Fookes, Clinton B., & Sridharan, Sridha (2012) Activity analysis in complicated scenes using DFT coefficients of particle trajectories. In 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2012), 18-21 September 2012, Beijing, China. available at eprints.

Acknowledging the Database in your Publications

In addition to citing our paper, we kindly request that the following text be included in an acknowledgements section at the end of your publications: We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT-Campus database for our research.

Installing the SAIVT-Campus database

After downloading and unpacking the archive, you should have the following structure:

SAIVT-Campus +-- LICENCE.txt +-- README.txt +-- test_dataset.avi +-- training_dataset.avi +-- Xu2012 - Activity analysis in complicated scenes using DFT coefficients of particle trajectories.pdf

Notes

The SAIVT-Campus dataset is captured at the Queensland University of Technology, Australia.

It contains two video files from real-world surveillance footage without any actors:

training_dataset.avi (the training dataset)
test_dataset.avi (the test dataset).

This dataset contains a mixture of crowd densities and it has been used in the following paper for abnormal event detection:

Xu, Jingxin, Denman, Simon, Fookes, Clinton B., & Sridharan, Sridha (2012) Activity analysis in complicated scenes using DFT coefficients of particle trajectories. In 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2012), 18-21 September 2012, Beijing, China. Available at eprints. 
This paper is also included with the database (Xu2012 - Activity analysis in complicated scenes using DFT coefficients of particle trajectories.pdf) Both video files are one hour in duration.

The normal activities include pedestrians entering or exiting the building, entering or exiting a lecture theatre (yellow door), and going to the counter at the bottom right. The abnormal events are caused by a heavy rain outside, and include people running in from the rain, people walking towards the door to exit and turning back, wearing raincoats, loitering and standing near the door and overcrowded scenes. The rain happens only in the later part of the test dataset.

As a result, we assume that the training dataset only contains the normal activities. We have manually made an annotation as below:

the training dataset does not have abnormal scenes
the test dataset separates into two parts: only normal activities occur from 00:00:00 to 00:47:16 abnormalities are present from 00:47:17 to 01:00:00. We annotate the time 00:47:17 as the start time for the abnormal events, as from this time on we have begun to observe people stop walking or turn back from walking towards the door to exit, which indicates that the rain outside the building has influenced the activities inside the building. Should you have any questions, please do not hesitate to contact Dr Jingxin Xu.

Among U.S. college and university students, ** percent strongly agreed that they knew where to go for on-campus professional mental health services. This statistic shows the percentage of postsecondary students with knowledge of on-campus mental health resources in the United States in 2023-2024.

This study, Responding to Sexual Assault on Campus: A National Assessment and Systematic Classification of the Scope and Challenges for Investigation and Adjudication, documents the current landscape (the breadth and differences) of campus approaches to investigations and adjudication of sexual assault. Data were gathered from a national sample of 969 colleges and universities in conjunction with interviews with key informants in 47 universities. Informed by a victim-centered focus, researchers developed a typology/matrix of approaches based on documented features of Institutes of Higher Education (IHE) policies related to sexual assault. In addition to the typology/matrix development, interviews and surveys of campus stakeholders and key informants were conducted to identify implementation strategies and challenges associated with each type of response model. The project ultimately produced guidelines that may assist colleges with assessing their capacity and preparedness to meet new and existing demands for sexual assault response models.

As of fall 2021, the University of Central Florida had the largest on-campus population in the United States, with ****** undergraduates. Texas A&M University, College Station had the second largest on-campus population in that year, with ****** undergrads.

The primary research objective of this study was to examine the prevalence, nature, and reporting of various types of sexual assault experienced by university students in an effort to inform the development of targeted intervention strategies. In addition, the study had two service-oriented objectives: (1) to educate students about various types of sexual assault, how they can maximize their safety, and what they can do if they or someone they know has been victimized and (2) to provide students with information about the campus and community resources that are available should they need assistance or have any concerns or questions. The study involved a Web-based survey of random samples of undergraduate students at two large public universities, one located in the South (University 1) and one located in the Midwest (University 2). Researchers drew random samples of students aged 18-25 and enrolled at least three-quarters' time at each university to participate in the study. The survey was administered in the winter of 2005-2006, and a total of 5,446 undergraduate women and 1,375 undergraduate men participated for a grand total of 6,821 respondents. Sampled students were sent an initial recruitment e-mail that described the study, provided a unique study ID number, and included a hyperlink to the study Web site. During each of the following weeks, students who had not completed the survey were sent follow-up e-mails and a hard-copy letter encouraging them to participate. The survey was administered anonymously and was designed to be completed in an average of 15 minutes. Respondents were provided with a survey completion code that, when entered with their study ID number at a separate Web site, enabled them to obtain a $10 Amazon.com gift certificate. The survey was divided into six modules. The Background Information module included survey items on demographics, school classification (year of study, year of enrollment, transfer status), residential characteristics, academic performance, and school involvement. An Alcohol and Other Drug Use module generated a number of measures of alcohol and drug use, and related substance use behaviors. A Dating module included items on sexual orientation, dating, consensual sexual activity, and dating violence. The Experiences module was developed after extensive reviews of past surveys of sexual assault and generated information on physically forced sexual assault and incapacitated sexual assault. For both physically forced and incapacitated sexual assault, information was collected on completed and attempted assaults experienced before entering college and since entering college. For male respondents, a Behaviors module asking about the perpetration of the same types of sexual assault covered in the Experiences module was included. The final module of the survey covered attitudes about sexual assault and attitudes about the survey. The data file contains 747 variables.

According to a survey conducted in 2023, ** percent of associate and bachelor's degree students in the United States said that they worry about gun violence on their college campus a fair amount. In comparison, ** percent said that they did not worry much about gun violence on campus, while ** percent said that they did not worry about it at all. Only ***** percent of surveyed students said that they worry about gun violence on their campus a great deal.

This 2005 study ù widely disseminated both in print and electronically ù summarizes the nature and extent of sexual assault on college campuses, and examines response policies and procedures; reporting options; victim resources; and investigation, adjudic

Investigator(s): Bureau of Justice Statistics In 1995, to determine the nature of law enforcement services provided on campus, the Bureau of Justice Statistics (BJS) surveyed four-year institutions of higher education in the United States with 2,500 or more students. This survey describes nearly 600 of these campus law enforcement agencies in terms of their personnel, expenditures and pay, operations, equipment, computers and information systems, policies, and special programs. The survey was based on the BJS Law Enforcement Management and Administrative Statistics (LEMAS) program, which collected similar data from a national sample of state and local law enforcement agencies.

Historical Dataset of Penta Career Center - On Campus is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1990-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),Hispanic Student Percentage Comparison Over Years (1990-2023),Black Student Percentage Comparison Over Years (1990-2023),White Student Percentage Comparison Over Years (1990-2023),Two or More Races Student Percentage Comparison Over Years (2022-2023),Diversity Score Comparison Over Years (1990-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2023)

According to a survey conducted in 2023, ** percent of current and prospective college students in the United States said that they would be more likely to stay enrolled or decide to enroll at a college if the institution had tough restrictions on gun ownership that banned or made it hard for people to have guns on campus. In contrast, ** percent indicated that they would be more likely to prefer a college that had few restrictions on gun ownership and allowed people to have guns on campus if they wanted to. The most support for less restrictive campus gun policies came from Republican students, at ** percent. Only **** percent of Democrats and ** percent of Independents were found to be in favor of attending a college which allows guns on campus with little restriction.

Financial overview and grant giving statistics of Ohr on Campus Inc.

This data set consists of Placement data, of students in a XYZ campus. It includes secondary and higher secondary school percentage and specialisation. It also includes degree specialisation, type and Work experience and salary offers to the placed students we will Analyse what factors are playing a major role in order to select a candidate for job recruitment

This dataset tracks annual distribution of students across grade levels in Penta Career Center - On Campus

Dataset containing channel state information (CSI) alongside ground truth data (position tags, timestamps) of a massive MIMO-OFDM system measured with the DICHASUS channel sounder. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json). Outdoor, mostly line-of-sight environment with transmitter (on top of a human-pulled handcart) moving on a street between two tall buildings on the university campus. The receive antenna array is affixed to a building facade.

University expenditure, by source of funds (governments, student fees, other sources) and type of expenditures (e.g. Operating and sponsored research, capital, student support).

The Campus Safety and Security Survey, 2008 (CSSS 2008), is a data collection that is part of the Campus Safety and Security Survey (CSSS) program; program data is available since 2005 at . CSSS 2008 (https://ope.ed.gov/security/) was a cross-sectional survey that collected information required for benefits about crime, criminal activity, and fire safety at postsecondary institutions in the United States. The collection was conducted through a web-based data entry system utilized by postsecondary institutions. All postsecondary institutions participating in Title IV funding were sampled. The collection's response rate was 100 percent. Key statistics produced from CSSS 2008 were on the number and types of crimes committed at responding postsecondary institutions and the number of fires on institution property.

A dataset for generating the results in a paper appearing in Journal of Student Affairs Research and Practice, 2023.

This statistic shows hiring managers responses to the survey question about the difference between online and on-campus colleges in the United States and which are able to offer better services to students. 66 percent of respondents said that the prestige of a degree was better when it was earned through an on-campus college.

This dataset tracks annual white student percentage from 1990 to 2023 for Penta Career Center - On Campus vs. Ohio and Penta Career Center - School District

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Campus. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Campus. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Campus, the median household income stands at $101,429 for householders within the 45 to 64 years age group, followed by $97,500 for the 25 to 44 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $80,000.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Campus median household income by age. You can refer the same here