Object detection methods on compressed domain videos: An overview, comparative analysis, and new directions

D Zhai, X Zhang, X Li, X Xing, Y Zhou, C Ma - Measurement, 2023 - Elsevier
A review of the object detection on compressed domain video is presented in this paper. The
literature reviewed spans over the past 32 years (1990–2022), covering the key methods for …

An improved Gaussian Mixture Model with post-processing for multiple object detection in surveillance video analytics

F Joy, V Vijayakumar - International journal of electrical and computer …, 2022 - hrcak.srce.hr
Sažetak Gaussian Mixture Model (GMM) is an effective method for extracting foreground
objects from video sequences. However, GMM fails to detect the object in challenging …

[PDF][PDF] A Novel User-Friendly Application for Foreground Detection with Post-Processing in Surveillance Video Analytics

F Joy, V Vijayakumar - Int. J. Electr. Electron. Res., 2022 - ijeer.forexjournal.co.in
░ ABSTRACT-Detection of the object in the video is a primary task of all video-processing-
based applications. It is one of the challenging areas in computer vision. The paper presents …

[PDF][PDF] Multiple object detection in surveillance video with domain adaptive incremental fast rcnn algorithm

F Joy, V Vijayakumar - Ind J Comput Sci Eng, 2021 - researchgate.net
Object detection is one of the key steps in wide variety of surveillance-based applications.
This paper introduces an incremental class based Fast RCNN multiple object detection …

Design of Dynamic Target Tracking System Based on FPGADynamic Target Tracking System

G Cong, D Shan, L Wang - … of the 2023 International Conference on …, 2023 - dl.acm.org
With the development of the electronic information industry, image processing technology
has become increasingly important in the field of computer vision, and has been widely …