Online Multiperson Tracking and Counting with Cloud Computing

Abstract

Intelligent video surveillance is a challenging issue due to complicated scenes. Based on empirical and experimental explorations, we propose a multi-person tracking-by-detection framework to achieve pedestrian counting at run time. This framework is integrated with a stream based cloud computing paradigm to improve tracking performance. We evaluated our approach which shows improved time performance compared with those classical approaches.

DOI: 10.1109/IIKI.2014.22

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Cite this paper

@article{Zhang2014OnlineMT, title={Online Multiperson Tracking and Counting with Cloud Computing}, author={Weishan Zhang and Wenshan Wang and Pengcheng Duan and Xin Liu and Qinghua Lu}, journal={2014 International Conference on Identification, Information and Knowledge in the Internet of Things}, year={2014}, pages={72-75} }