Research Article
Distributed Color-Based Particle Filter for Target Tracking in Camera Network
@INPROCEEDINGS{10.1007/978-3-030-67540-0_24, author={Yueqing Jing and Yanming Chen}, title={Distributed Color-Based Particle Filter for Target Tracking in Camera Network}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16--18, 2020, Proceedings, Part II}, proceedings_a={COLLABORATECOM PART 2}, year={2021}, month={1}, keywords={Consensus algorithm Particle filter Camera network}, doi={10.1007/978-3-030-67540-0_24} }- Yueqing Jing
Yanming Chen
Year: 2021
Distributed Color-Based Particle Filter for Target Tracking in Camera Network
COLLABORATECOM PART 2
Springer
DOI: 10.1007/978-3-030-67540-0_24
Abstract
Color-based particle filters have appeared in some literatures. However, there are still some important drawback in tracking targets, such as illumination changes, occlusion and low tracking accuracy. To solve these problems, in this paper, we propose a distributed color-based particle filter (DCPF) for target tracking, which can track targets accurately in a large-scale camera network with less data transmission and less computation. Compared with the previous algorithms, the algorithm proposed in this paper has two obvious advantages. First, the DCPF framework merges color features into the target’s state to obtain better robustness. Second, it considers the situation where the target is disappear in some cameras because of limited field of view (FoV). Convincing results are confirmed that the performance analysis of the proposed algorithm in this paper is very close to the centralized particle filter method.
