• V.Prakasam

Face tracking in real-time is required for activity recognition, automotive safety, and for surveillance systems. For this Arduino is used along with the packages available in MATLAB using Kanade–Lucas–Tomasi (KLT) algorithm. However, due to more complex motion in real time, a better algorithm is required. In this paper, the entire process is divided into two steps: the face is detected by Viola-Jones detection algorithm and then the KLT algorithm is used to track the feature points in the video frame. Human faces are detected and tracked with the help of webcam and servo motors. The perfect intention of this paper is to progress a faster algorithm in detecting, tracking and recognizing a face, which serves as a useful process in several Real time applications like security systems, video surveillance, video coding and Advanced Robotics etc. Thus, an efficient, low cost, light weight programmable robot has been built.

algorithm, Viola-Jones algorithm, Face tracking, Arduino, MATLAB, Face Recognition

"MATLAB BASED REAL TIME TARGET DETECTION AND TRACKING USING ARDUINO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.121-126, April-2019, Available :http://www.jetir.org/papers/JETIR1904N20.pdf

"MATLAB BASED REAL TIME TARGET DETECTION AND TRACKING USING ARDUINO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp121-126, April-2019, Available at : http://www.jetir.org/papers/JETIR1904N20.pdf