Multi-view Moving Human Detection and Correspondence Based on Object Occupancy Random Field

Authors:
Jian Xu;Xiao-Qing Ding;Sheng-Jin Wang;You-Shou Wu
Affiliations:
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China;State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China;State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China;State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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Abstract

In this paper, we address the problem of detection and correspondence of moving persons in a multi-camera set. A novel algorithm is proposed based on object occupancy random field (abbreviated by OORF), which has a robust performance even under severe occlusions and a fast implementation speed. The core of our algorithm is OORF and object window structure. The latter is essential to compute OORF and provides a scheme to detect and correspond objects simultaneously.