Occluded Object Detection is a specialized form of object detection that addresses the challenge of identifying and localizing objects in images when they are partially hidden or blocked by other objects or structures in the scene.
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641
An HOG-LBP human detector with partial occlusion handling
Xiaoyu Wang, Tony Xiao Han, Shuicheng Yan · 2009 · 1.7K citations
A survey of modern deep learning based object detection models
Syed Sahil Abbas Zaidi, Mohd. Samar Ansari, Asra Aslam et al. · Digital Signal Processing · 2022 · 948 citations
Tracking Without Bells and Whistles
2019 · 872 citations · Full text
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Chinese Academy of Sciences
Beijing, China
15 h-index
49 publications
2.9K citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
27 publications
3K citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
24 publications
1K citations
Beihang University
Beijing, China
11 h-index
45 publications
2.8K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
10 h-index
23 publications
8.6K citations
Tongji University
Shanghai, China
9 h-index
20 publications
3.1K citations
National University of Defense Technology
Changsha, China
9 h-index
21 publications
805 citations
Johns Hopkins University
Baltimore, United States
8 h-index
29 publications
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Repository · 30 publications · 1.6K citations
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 18 publications · 6.3K citations
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- Pattern Recognition
14 publications · 1K citations
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- Sensors
17 publications · 722 citations
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