Human action invarianceness for human action recognition

• Main Authors: Sjarif, N. N. A., Shamsuddin, S. M.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/73447/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964681706&doi=10.1109%2fSKIMA.2015.7400036&partnerID=40&md5=33ed52231a29dfa50bc3159be9897bd9
• Institution: Universiti Teknologi Malaysia

The uniqueness of the human action shape or silhouete can be used for the human action recognition. Acquiring the features of human silhouette to obtained the concept of human action invarianceness have led to an important research in video surveillance domain. This paper discusses the investigation of this concept by extracting individual human action features using integration moment invariant. Experiment result have shown that human action invarianceness are improved with better recognition accuracy. This has verified that the integration method of moment invariant is worth explored in recognition of human action in video surveillance.