• S.SATHYA
• B.VENBA

Computer vision is allied with the automatic extraction, psychoanalysis and comprehending useful information from a specific image or from the image series. It includes the growth of a theoretical and algorithmic base so as to attain automatic visual understanding. Identifying humans and evaluating their behavior by vision is vital for the computer systems nowadays so as to intermingle intelligently in a few human colonized environments. The visual surveillance systems are employed for the real-time scrutiny of targets like persons or vehicles, which leads to the depiction of activity of the object in that environment. Visual surveillance has been exercised for security scrutinizing, anomaly detection, intruder detection, traffic flow measuring, accident recognition on highways and routine continuance in nuclear amenities. Detecting and tracking of human beings from a video is the primary phase towards psychiatry and prediction of their actions and intention. The hitch of multiple object tracking is more knotty and exigent than the single object tracking owing to the abrupt appearance and disappearance of object. Though human detection has been investigated thoroughly in the computer vision, many conventional techniques are inappropriate for detecting targets of great variance in their exterior look. As a result, the robust human detection still remains a challenging problem because of the vastly articulated body postures, occlusion, and background clutter and viewpoint variations. In this paper, a 360-degree view is presented on the assessment of the diverse people tracking techniques.

people tracking, human detection, multiple object detection, moving object, background subtraction.

"Detection and Tracking of People based on Computer Vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.631-641, February-2019, Available :http://www.jetir.org/papers/JETIR1902B91.pdf

"Detection and Tracking of People based on Computer Vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp631-641, February-2019, Available at : http://www.jetir.org/papers/JETIR1902B91.pdf