Identity-Quantity Harmonic Multi-Object Tracking

Author:

He Yuhang1ORCID,Wei Xing1ORCID,Hong Xiaopeng1ORCID,Ke Wei1,Gong Yihong1ORCID

Affiliation:

1. Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Shaanxi, Xi’an, China

Funder

National Key Research and Development Project of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference85 articles.

1. Human in events: A large-scale benchmark for human-centric video analysis in complex events;lin;arXiv 2005 04490,2020

2. MOT20: A benchmark for multi object tracking in crowded scenes;dendorfer;arXiv 2003 09003,2020

3. Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers

4. Object Detection with Discriminatively Trained Part-Based Models

5. Tracking of multiple, partially occluded humans based on static body part detection;wu;Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit (CVPR),2006

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