{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T21:11:54Z","timestamp":1651871514731},"reference-count":19,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4,1]]},"abstract":"<p>Real-Time Facial and eye tracking is critical in applications like military surveillance, pervasive computing, Human Computer Interaction etc. In this work, face and eye tracking are implemented by using two well-known methods, CAMSHIFT and RANSAC. In our first approach, a frontal face detector is run on each frame of the video and the Viola-Jones face detector is used to detect the faces. CAMSHIFT Algorithm is used in the real- time tracking along with Haar-Like features that are used to localize and track eyes. In our second approach, the face is detected using Viola-Jones, whereas RANSAC is used to match the content of the subsequent frames. Adaptive Bilinear Filter is used to enhance quality of the input video. Then, we run the Viola-Jones face detector on each frame and apply both the algorithms. Finally, we use Kalman filter upon CAMSHIFT and RANSAC and compare with the preceding experiments. The comparisons are made for different real-time videos under heterogeneous environments through proposed performance measures, to identify the best-suited method for a given scenario.<\/p>","DOI":"10.4018\/ijiit.2017040104","type":"journal-article","created":{"date-parts":[[2017,3,6]],"date-time":"2017-03-06T15:56:27Z","timestamp":1488815787000},"page":"63-75","source":"Crossref","is-referenced-by-count":2,"title":["Comparative Study of CAMSHIFT and RANSAC Methods for Face and Eye Tracking in Real-Time Video"],"prefix":"10.4018","volume":"13","author":[{"given":"T.","family":"Raghuveera","sequence":"first","affiliation":[{"name":"Anna University, Department of Computer Science and Engineering, Tamil Nadu, India"}]},{"given":"S.","family":"Vidhushini","sequence":"additional","affiliation":[{"name":"Anna University, Department of Computer Science and Engineering, Tamil Nadu, India"}]},{"given":"M.","family":"Swathi","sequence":"additional","affiliation":[{"name":"Anna University, Department of Computer Science and Engineering, Tamil Nadu, India"}]}],"member":"2432","reference":[{"key":"IJIIT.2017040104-0","doi-asserted-by":"publisher","DOI":"10.4018\/ijiit.2014100104"},{"key":"IJIIT.2017040104-1","unstructured":"Arceneaux, I. V. G., Schedin, A., & White, A. (2010). Real Time Face And Facial Feature Detection And Tracking. Proceedings of theMidwest Instruction and Computing Symposium (MICS). Northfield, Minnesota, USA."},{"key":"IJIIT.2017040104-2","doi-asserted-by":"publisher","DOI":"10.1109\/ICUAS.2015.7152426"},{"issue":"4","key":"IJIIT.2017040104-3","first-page":"143","article-title":"A comparison of SIFT, PCA-SIFT and SURF.","volume":"3","author":"L.Juan","year":"2009","journal-title":"International Journal of Image Processing"},{"key":"IJIIT.2017040104-4","doi-asserted-by":"publisher","DOI":"10.4018\/IJIIT.2015100101"},{"key":"IJIIT.2017040104-5","unstructured":"Lae-Kyoung Lee, S.-Y. A.-Y. (2011). Efficient Face Detection and Tracking with extended camshift and haar-like features. Proceedings of theIEEE International Conference on Mechatronics and Automation (ICMA) (pp. 507-533). Beijing: IEEE."},{"key":"IJIIT.2017040104-6","doi-asserted-by":"publisher","DOI":"10.1117\/12.902093"},{"key":"IJIIT.2017040104-7","doi-asserted-by":"crossref","unstructured":"Liu, J., Sun, H., Yang, H., Li, W., & Wu, L. (2014). CamShift Based on Multi-feature Fusion and Kalman Prediction for Real-time Visual Tracking. Information Technology Journal.","DOI":"10.3923\/itj.2014.159.164"},{"key":"IJIIT.2017040104-8","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2005.08.003"},{"key":"IJIIT.2017040104-9","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"IJIIT.2017040104-10","doi-asserted-by":"publisher","DOI":"10.4018\/IJIIT.2012010103"},{"issue":"2","key":"IJIIT.2017040104-11","first-page":"456","article-title":"Convergence and Complexity Analysis of Recursive-RANSAC: A New Multiple Target Tracking Algorithm.","volume":"61","author":"P. C.Niedfeldt","year":"2016","journal-title":"IEEE Transactions on Automatic Control"},{"key":"IJIIT.2017040104-12","unstructured":"Nouar, O., Ali, G., & Raphael, C. (2006). Improved object tracking with CAMSHIFT algorithm. Proceedings of theIEEE International Conference on Acoustics, Speech, and Signal Processing (pp. II657-II660). Piscataway: IEEE."},{"key":"IJIIT.2017040104-13","doi-asserted-by":"publisher","DOI":"10.7763\/IJIET.2016.V6.657"},{"key":"IJIIT.2017040104-14","unstructured":"Salhi, A., & Jammoussi, A. Y. (2012). Object Tracking System Using Camshift Mean Shift and Kalman Filter. World Academy of Science, Engineering & Technology, (64), 674-680."},{"key":"IJIIT.2017040104-15","doi-asserted-by":"publisher","DOI":"10.4018\/jiit.2013010102"},{"key":"IJIIT.2017040104-16","doi-asserted-by":"publisher","DOI":"10.4018\/jiit.2013070102"},{"key":"IJIIT.2017040104-17","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"IJIIT.2017040104-18","doi-asserted-by":"publisher","DOI":"10.11591\/telkomnika.v11i8.3037"}],"container-title":["International Journal of Intelligent Information Technologies"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=179300","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T20:42:59Z","timestamp":1651869779000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJIIT.2017040104"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2017,4,1]]},"references-count":19,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijiit.2017040104","relation":{},"ISSN":["1548-3657","1548-3665"],"issn-type":[{"value":"1548-3657","type":"print"},{"value":"1548-3665","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,1]]}}}