Face Detection using Spatio-Temporal Segmentation and Tracking for Video Security

  Ekta Thaman,  Ramanpreet Kaur

Real-time face detection and tracking is a challenging problem in many application scenarios such as faces and gesture recognition in computer vision and robotics. The ongoing work implements a robust method which can locate multiple faces simultaneously under the changing environment of light illumination and complex background in real time by using face detection and tracking in conjunction with depth information. To achieve robustness, the Kanade-Lucas-Tomasi point tracker is used and specialised to work on facial features by embedding knowledge about the configuration and visual characteristics of the face. The resulting tracker is designed to recover from the loss of points caused by tracking drift or temporary occlusion. Performance assessment experiments will be carried out on a set of video sequences of several facial expressions. It will be shown that using the original Kanade-Lucas-Tomasi trackers, some of the points are lost, whereas new method will be proposed to overcome the drawback

Keywords- Face recognition, Preprocessing, characteristics match, Image Processing etc

Unique Identification Number - IJEDR1503047
Page Number(s) -
Pubished in - Volume 3 | Issue 3 | July 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Ekta Thaman,  Ramanpreet Kaur,   "Face Detection using Spatio-Temporal Segmentation and Tracking for Video Security", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp., July 2015, Available at :http://www.ijedr.org/papers/IJEDR1503047.pdf