A review of the Multiple Object Detection, Tracking and Recognition in Video Surveillance Systems using different approaches

Abstract

Moving item location in any video scene and its detection are the 2 significant testing errands in the moving video investigation system which is dynamic in nature. It is trying because of impediment, nearness of shadows, jumbling, dynamic foundation, clamor etc. Detection of moving objects, following, object coordinating crosswise over multi-camera, and reidentification are the fundamental strides of multi camera video investigation system. Multiple object location and following in savvy city video investigation can be created by propriety of society, for example, shrewd observation, savvy stopping, traffic observing, vehicle route, savvy human services and so forth. The objective of this paper is to examine and audit different methodologies towards such different types of moving object detection, its segmentation, histogram equalization, filtering, classification etc… Also, this survey paper gives a brief idea about the work done by various authors till date in the field of video image processing so that this review papers serves as a base paper for many of the researchers who want to do research in this exciting field of video processing. Some of the drawbacks or the disadvantages of the works that were carried out by the earlier researchers are considered in our research work, studied in brief & problem is being defined along with the objectives in order to overcome some of the deficiencies of the existing algos.

[Retracted] The Importance of Traditional Sports into College Physical Education Based on Big Data Dynamic Programming Algorithm

“…Patil and Sunitha believe that in the dynamic video survey system, the location and detection of moving items in the video scene are very important, which are affected by obstacles, shadows, and noise. The basic development direction of the multicamera video survey system is the horizontal coordination and rerecognition of moving object detection and tracking on multiple cameras [14]. Ma and Song proposed a moving object detection method in H.264/AVC compressed domain for video surveillance applications, which uses H.264 to compress the information in the bit stream, while reducing the computational complexity and memory requirements, and completes the detection and segmentation of moving objects through motion vectors and quantization parameters [15].…”

Video Image Moving Target Recognition Method Based on Generated Countermeasure Network

“…Recognition of moving objects is the key technology of visual analysis of moving objects, and it is also the most basic problem. It usually extracts moving images from the background and preprocesses them [4][5][6]. When performing target recognition, it is necessary to e ectively detect the target and to classify and preprocess it to facilitate subsequent processing.…”