• SHAIKH SHAKIL ABDUL RAJJAK
• SHAIKH SHAKIL ABDUL RAJJAK

Object detection and tracking is one of the most challenging dynamic areas of research due to the limitations/issues like variations in motion of object and variation in object size, occlusions, appearance variations, and illumination variations. The object tracking is the technique which is used to track object from the image or from the video. The detection of fast moving object is important in many tasks, such as video surveillance, vehicle detection, traffic monitoring,. Sports monitoring, and video surveillance. In static environment segmentation of object is not complex. In dynamic environment due to dynamic environmental conditions such as illumination changes, shadows and waving tree branches in the wind object segmentation is a difficult and significant problem that needs to be handled well for robust visual object detection. Real time high-speed vision is expected to be a very exciting field for the next research. Currently, the sensitivity of a high-speed vision system is low when working at a high frame rate. This paper reviews some emerging trends/algorithms of high speed, high resolution object detection and tracking in video processing.

Real-time high-speed vision, kernelized correlation filter, high frame-rate (HFR), Multi-layers particle filter (MLPF)

"A REVIEW ON EMERGING TRENDS IN HIGH SPEED REAL TIME OBJECT DETECTION AND TRACKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.208-215, November-2018, Available :http://www.jetir.org/papers/JETIR1811832.pdf

"A REVIEW ON EMERGING TRENDS IN HIGH SPEED REAL TIME OBJECT DETECTION AND TRACKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp208-215, November-2018, Available at : http://www.jetir.org/papers/JETIR1811832.pdf