NDLI: Real-Time Multi-human Tracking Using a Probability Hypothesis Density Filter and Multiple Detectors

Content Provider	IEEE Xplore Digital Library
Author	Eiselein, V. Arp, D. Patzold, M. Sikora, T.
Copyright Year	2012
Abstract	The Probability Hypothesis Density (PHD) filter is a multi-object Bayes filter which has recently attracted a lot of interest in the tracking community mainly for its linear complexity and its ability to deal with high clutter especially in radar/sonar scenarios. In the computer vision community however, underlying constraints are different from radar scenarios and have to be taken into account when using the PHD filter. In this article, we propose a new tree-based path extraction algorithm for a Gaussian Mixture PHD filter in Computer Vision applications. We also investigate how an additional benefit can be achieved by using a second human detector and justify an approximation for multiple sensors in low-clutter scenarios.
Starting Page	325
Ending Page	330
File Size	2475680
Page Count	6
File Format	PDF
ISBN	9781467324991
e-ISBN	9780769547978
DOI	10.1109/AVSS.2012.59
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gaussian Mixture Head density probability Radar tracking Clutter Standards Detectors Feature extraction hypothesis video surveillance PHD filter multiple detectors multiobject tracking
Content Type	Text
Resource Type	Article

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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
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Real-Time Multi-human Tracking Using a Probability Hypothesis Density Filter and Multiple Detectors