Work

A Multi-Camera Tracking System That Can always Select A Better View to Perform Tracking

Year: 2009

Type: conference-paper

Abstract: In this paper, we propose a new multiple-camera people tracking system that is equipped with the following functions: (1) can handle long-term occlusions, complete occlusions, and unpredictable motions; (2) can detect arbitrary sized foreground objects; (3) can detect objects with much faster speed. The main contribution of our method is twofold: 1) An M-to-one relationship with only point homography matching for occlusion detection can achieve efficiency; 2) A view-hopping technique based on object motion probability (OMP) is proposed to automatically select an appropriate observation view for tracking a human subject.

Source: Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)

Authors: Shih-Wei Sun, Hsing Yuan Lo, Hong Lin, Yong‐Sheng Chen, Fay Huang, Hong Yuan Mark Liao

Institutions: Institute of Information Science, Academia Sinica, Academia Sinica, National Yang Ming Chiao Tung University, National Ilan University

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3082914168

FWCI: 0.273

Cites:

Cited by: 3

Related to: 10