Activity recognition refers to the process of identifying the types of movement performed by humans over a certain period of time. It is also known as action recognition when the period of time is relatively short.
The classic study on visual analysis of biological motion using moving light display (MLD)  has inspired tremendous interests among the computer vision researchers in the problem of recognizing human motion through visual information. The commonly used devices to capture human movement include human motion capture (MOCAP) with or without markers, multiple video camera systems, and single video camera systems. A MOCAP device usually works under controlled environment to capture the three-dimensional (3D) joint locations or angles of human bodies; multiple camera systems provide a way to reconstruct 3D body models from multiple viewpoint images. Both MOCAP and multiple camera systems...
- 7.Dollar P, Rabaud V, Cottrell G, Belongie S (2005) Behavior recognition via sparse-temporal features. In: 2nd joint IEEE international workshop on visual surveillance and performance evaluation of tracking and surveillance, Beijing, pp 65–72Google Scholar
- 8.Wong SF, Cipolla R (2007) Extracting spatiotemporal interest points using global information. In: International conference on computer vision, Rio de Janeiro, pp 1–8Google Scholar
- 10.Liu J, Luo J, Shah M (2009) Recognizing realistic actions from videos “in the wild”. In: International conference on computer vision and pattern recognition (CVPR), Miami, pp 1–8Google Scholar
- 12.Yamato J, Ohya J, Ishii K (1992) Recognizing human action in time-sequential images using hidden Markov model. In: International conference on computer vision and pattern recognition (CVPR), Champaign, pp 379–385Google Scholar