NDLI: Computer Detection and Tracking of Moving People in Television Images/sup 1/

Content Provider	IEEE Xplore Digital Library
Author	Riter, S. Bernat, A. Schroder, D.
Copyright Year	1988
Description	Author affiliation: The University of Texas at El Paso (Riter, S.)
Abstract	An important area of computer vision is the detection and tracking of moving people in television images. This paper descr ibes the development of a computer vision system which can detect and track human motion across the international border between the United States and Mexico. The system consists of 16 parallel microprocessors which each operate on a segment of the total video image to determine if there has been motion in that segment of the image. Motion is detected based upon a novel scheme for calculating the median pixel value in the segment and comparing it with the median value from an earlier frame. Motion is detected if the median varies by more than a predetermined amount. When this happens a bit is sent to a controlling CPU. Also, each segment exchanges information with its neighbors thereby improving its ability to track the motion of a person. The paper also describes a practical realization of the design and problems associated with its use in a practical security system.
Starting Page	1013
Ending Page	1016
File Size	699234
Page Count	4
File Format	PDF
ISBN	7800030393
DOI	10.1109/ICSMC.1988.712863
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-08-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Motion detection Cameras Image segmentation Monitoring Circuit testing Tracking Infrared detectors Humans Computer vision
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Target Detection Through Robust Motion Segmentation and Tracking Restrictions in Aerial Flir Images

A real-time algorithm for moving objects detection in video images

Detection of moving people with mobile cameras by fast motion segmentation

Smoke Detection in Video

Pedestrian tracking in infrared from moving vehicles

Detection and tracking of pedestrians in infrared images

Computer vision techniques for fire monitoring using aerial images

Motion Detection for Rapidly Moving Cameras in Fully 3D Scenes

People tracking by integrating multiple features

Computer Detection and Tracking of Moving People in Television Images/sup 1/

Similar Documents

Target Detection Through Robust Motion Segmentation and Tracking Restrictions in Aerial Flir Images

A real-time algorithm for moving objects detection in video images

Detection of moving people with mobile cameras by fast motion segmentation

Smoke Detection in Video

Pedestrian tracking in infrared from moving vehicles

Detection and tracking of pedestrians in infrared images

Computer vision techniques for fire monitoring using aerial images

Motion Detection for Rapidly Moving Cameras in Fully 3D Scenes

People tracking by integrating multiple features

Computer Detection and Tracking of Moving People in Television Images/sup 1/