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Face Detection and Tracking Using Combination of SDM Viola Jones and Skin Color Based Segmentation
Harvir Singh,  Er. Shaveta Sehgal
Real-time face detection and tracking is a demanding problem in many application circumstances such as faces and gesture recognition in image processing and robotics etc. The ongoing work implements a robust method which can locate various faces at the same time under the varying environment of illumination and complex background in online (real time) by using face detection and tracking in conjunction with depth data. To achieve robustness, the Kanade-Lucas-Tomasi point tracker is used and dedicated to work on facial features by inserting knowledge about the configuration and visual features of the face. The resulting tracker is designed to get better from the loss of points due to tracking drift or temporary occlusion. Performance calculation 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 has been proposed to overcome the drawback. A performance assessment experiment is carried out on a set of video sequences of several facial expressions.
Keywords- Face tracking, tracker, feature points, Image Processing
Unique Identification Number - IJEDR1702270Page Number(s) - 1717-1722Pubished in - Volume 5 | Issue 2 | June 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Harvir Singh,  Er. Shaveta Sehgal,   "Face Detection and Tracking Using Combination of SDM Viola Jones and Skin Color Based Segmentation"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1717-1722, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702270.pdf