Deep Learning and OpenCV in Real time object Detection and Tracking Techniques: In Live Video Surveillance

EasyChair Preprint 3221

Abstract

Moving object detection and tracking are the lot of vital and difficult task in video police work and pc vision applications. Object detection is that the procedure of finding the non-stationary entities within the image sequences. Detection is the first step towards following the moving object within the video. Object illustration is that the next vital step to trace. Tracking is the technique of distinguishing, the position of the moving object within the video. Distinguishing the position is far more difficult task then detection the moving object in a very different video. Object tracking is applied in various applications like in automaton vision, monitoring the traffic, Video police work, Video in-painting and Simulation. Here we have a tendency to be planning to gift a quick review of diverse object detection, object classification and object following algorithms obtainable.

Keyphrases: Performance, object detection, object representation, object tracking

@booklet{EasyChair:3221,
  author    = {Saurabh Patel},
  title     = {Deep Learning and OpenCV in Real time object Detection and Tracking Techniques: In Live Video Surveillance},
  howpublished = {EasyChair Preprint 3221},
  year      = {EasyChair, 2020}}