New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Over Camera Network

A Novel System for Non-Invasive Method of Animal Tracking and Classification in Designated Area Using Intelligent Camera System

“…They used 4 different classes, namely 4-leg animal, car, human and other objects and achieved overall success rate of 86.67%. In [4], a new approach for object detection and tracking in a multiple camera network was presented. This new approach is based on a new algorithm using mean shift segmentation and the depth information derived from stereo vision.…”

“…Many works were published focusing in object detection and classification in surveillance systems, traffic monitoring, human-machine interface, smart applications and different security solutions [1][2][3][4]. But there are only a few publications, which are focusing on detection and classification of wild animals [5], [6].…”

An Innovative Moving Object Detection and Tracking System by Using Modified Region Growing Algorithm

“…Shuai Zhang et al [21] projected an object detection technique by means of mean shift (MS) segmentation algorithm. The objects were again separated by using depth information which was derived from stereo vision.…”

Multiclass SVM and HoG based object recognition of AGMM detected and KF tracked moving objects from single camera input video

“…There are many existing techniques for road traffic monitoring like the use of sensors based on radar and LIDAR. Other techniques employ the use of multiple cameras [3] [7] to monitor the scene or the use of stereoscopic cameras [1].…”