原文地址：http://blog.csdn.net/daoqinglin/article/details/23607079
十一、目标、行为识别Object, Action Recognition：
- Action Recognition by Dense Trajectories[Project][Code] (DOWNLOAD)
- Action Recognition Using a Distributed Representation of Pose and Appearance[Project]
- Recognition Using Regions[Paper][Code]
- Quasi-dense wide baseline matching[Project]
- ChaLearn Gesture Challenge: Principal motion: PCA-based reconstruction of motion histograms[Project]
- A Hough Transform-Based Voting Framework for Action Recognition[Project]
- Motion Interchange Patterns for Action Recognition in Unconstrained Videos[Project]
- Learning and detecting shape models [code]
- Learning Non-Rigid 3D Shape from 2D Motion[Project]
Action Recognition
- ActionBank – Source code for action recognition based on the ActionBank representation (CVPR 2012). (DOWNLOAD)（linux下）
- STIP Features – software for computing space-time interest point descriptors
- Independent Subspace Analysis – Look for Stacked ISA for Videos (CVPR 2011)
- Velocity Histories of Tracked Keypoints - C++ code for activity recognition using the velocity histories of tracked keypoints (ICCV 2009)
Action Recognition
- Benchmarking Activity Recognition – CVPR 2012 tutorial covering various datasets for action recognition.(DOWNLOAD)