• Sonal Tiwari
• Dr Shailja Sharma
• Dr Sanjeev K Gupta

Object Detection in the moving scene is one of the critical researches in the field of computer science due the change in the size of object, speed, occlusions, and appearance variations. Particularly feature selection for the object is essential task during object detection. The process of object reorganization is called object detection. Object detection is useful in vehicle automation, traffic control, parking and many more places where we need object recognition. In this paper we focused on effectively object detection in any moving scene and compare our algorithm with the previous algorithm. On the other hand, few methods use the earlier existing information about object shape, color, texture and so on .this research suggest new goal ,result to tracking object in the video frame.

Object detection, machine learning , Artificial Neural Network (ANN) , Feedback networks.

"A Review on Real Time Object Detection and Tracking on Video Frame ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.562-565, April-2021, Available :http://www.jetir.org/papers/JETIR2104171.pdf

"A Review on Real Time Object Detection and Tracking on Video Frame ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp562-565, April-2021, Available at : http://www.jetir.org/papers/JETIR2104171.pdf