Group activity recognition with an interaction force based on low‐level features

Author:

Wateosot Chonthisa1,Suvonvorn Nikom1

Affiliation:

1. Department of Computer Engineering, Faculty of EngineeringPrince of Songkla University Hat Yai Songkhla, 90110 Thailand

Funder

Strategic Scholarships Fellowships Frontier Research Networks

Graduate School thesis grant, Prince of Songkla University

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference35 articles.

1. Learning Sparse Representations for Human Action Recognition

2. WangJ LiuZ WuY YuanJ. Mining actionlet ensemble for action recognition with depth cameras.Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Providence RI June 2012 1290–1297.

3. ChenX YuilleAL. Articulated pose estimation by a graphical model with image dependent pairwise relations.Advances in Neural Information Processing Systems 2014;1736–1744.

4. Adaptive occlusion state estimation for human pose tracking under self-occlusions

5. A Heat-Map-Based Algorithm for Recognizing Group Activities in Videos

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