Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching

@article{Lin2010ShapeBasedHD,
  title={Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching},
  author={Zhe L. Lin and Larry S. Davis},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2010},
  volume={32},
  pages={604-618}
}
We propose a shape-based, hierarchical part-template matching approach to simultaneous human detection and segmentation combining local part-based and global shape-template-based schemes. The approach relies on the key idea of matching a part-template tree to images hierarchically to detect humans and estimate their poses. For learning a generic human detector, a pose-adaptive feature computation scheme is developed based on a tree matching approach. Instead of traditional concatenation-style… CONTINUE READING

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