Comparative study of camshift and KLT algorithms for real time face detection and tracking applications
- Resource Type
- Conference
- Authors
- Chatterjee, Debmalya; Chandran, Saravanan
- Source
- 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Research in Computational Intelligence and Communication Networks (ICRCICN), 2016 Second International Conference on. :62-65 Sep, 2016
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Face
Algorithm design and analysis
Signal processing algorithms
Facial features
Skin
Real-time systems
Face detection
Real-time
Human-computer interaction
Viola-Jones algorithm
Camshift algorithm
KLT algorithm
- Language
Face detection and tracking is one of the emerging research areas in the image analysis and computer vision systems. This face detection and tracking helps local security forces to investigate crime incidents. This paper describes a face tracking framework that is capable of tracking a face in real time rapidly frame by frame. Camshift algorithm and KLT algorithm implemented and a comparison study between these two algorithms has been described in this paper. A real time video is experimented using these two algorithms for face detection and tracking. The experimental results show that the KLT algorithm performance is better than the Camshift algorithm in detecting the face and tracking the face. In this article it has been shown how the KLT algorithm proved to be better tracking algorithm than Camshift algorithm.