A survey on Human action recognition from videos
Human action recognition is a way of retrieving videos emerged from Content Based Video Retrieval (CBVR).It is a growing area of research in the field of computer vision nowadays. Human action recognition has gained popularity because of its wide applicability in automatic retrieval of videos of particular action using visual features. The most common stages for action recognition includes: object and human segmentation, feature extraction, activity detection and classification. This paper describes the application and challenges of human action recognition. Features and limitations of various methods for human action recognition are discussed. This paper introduces survey on different types of actions like single person action recognition, two person or person object interaction and multiple people action recognition.
2016 Online International Conference on Green Engineering and Technologies (IC GET)