Exploring the techniques for object detection, classification, and tracking in video surveillance for crowd analysis
Aparna Gullapelly, Barnali Gupta Banik · Indian Journal of Computer Science and Engineering · 2020
Video surveillance (observation) will be going through a massive variation in the most recent decade, and loads of research is experiencing around there.As Tracking of objects will be an essential portion of such frameworks, it gets essential to survey all state of art techniques & methods that exist to classification, detection of an object, & tracking for crowd analysis.This manuscript comprises of all models in the classified method.After object identification, classification is done to track that later.The Tracking of objects will be the technique to find the target in the following video frames.There are additionally a few difficulties in video observation that make it difficult like the object tracking on a few parameters such as problems of environment, illumination variation, pose variation, motion blur, matching of coordinates, & objects tracking, etc.Great characterization is deliberated for survey & complete review of all probable methods, so every perspective is subsequently enlightened in this article.