Multiple human detection and tracking by using multiple-stage HOG detector and PFGPDM

Yafeng Yin, Hong Man, Sachi Desai, Haibo He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Detection and tracking of a varying number of people is very essential in surveillance sensor systems. In the real applications, due to various human appearance and confusors, as well as various environmental conditions, multiple targets detection and tracking become even more challenging. In this paper, we proposed a new framework integrating a Multiple-Stage Histogram of Oriented Gradients (HOG) based human detector and the Particle Filter Gaussian Process Dynamical Model (PFGPDM) for multiple targets detection and tracking. The Multiple-Stage HOG human detector takes advantage from both the HOG feature set and the human motion cues. The detector enables the framework detecting new targets entering the scene as well as providing potential hypotheses for particle sampling in the PFGPDM. After processing the detection results, the motion of each new target is calculated and projected to the low dimensional latent space of the GPDM to find the most similar trained motion trajectory. In addition, the particle propagation of existing targets integrates both the motion trajectory prediction in the latent space of GPDM and the hypotheses detected by the HOG human detector. Experimental tests are conducted on the IDIAP data set. The test results demonstrate that the proposed approach can robustly detect and track a varying number of targets with reasonable run-time overhead and performance.

Original languageEnglish
Title of host publicationUnmanned/Unattended Sensors and Sensor Networks VI
DOIs
StatePublished - 2009
EventUnmanned/Unattended Sensors and Sensor Networks VI Conference - Berlin, Germany
Duration: 1 Sep 20093 Sep 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7480
ISSN (Print)0277-786X

Conference

ConferenceUnmanned/Unattended Sensors and Sensor Networks VI Conference
Country/TerritoryGermany
CityBerlin
Period1/09/093/09/09

Keywords

  • Multiple-stage HOG human detector
  • PFGPDM
  • Particle filter

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