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Object Motion Detection Methods for Real-Time Video Surveillance: A Survey with Empirical Evaluation

  • Surender SinghEmail author
  • Ajay Prasad
  • Kingshuk Srivastava
  • Suman Bhattacharya
Conference paper
  • 233 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)

Abstract

Automated moving object detection and analysis assumes a great significance in video surveillance. This article presents a comprehensive survey on the techniques of object-in-motion detection for video surveillance. In this paper, eight methods of object detection in video streams are implemented and evaluated empirically on five quality parameters for identifying the efficiency and effectiveness of these methods. For objective assessments of these methods, a standard dataset “CDnet2012” is used which consists of six different rigorous scenarios. In conclusion, an attempt has been made to identify the best method for different scenarios, employable in real-time video surveillance.

Keywords

Object detection Motion detection Video surveillance Precision-recall curves Background subtraction Background modeling Foreground detection 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Surender Singh
    • 1
    Email author
  • Ajay Prasad
    • 1
  • Kingshuk Srivastava
    • 1
  • Suman Bhattacharya
    • 2
  1. 1.SoCSE, UPESDehradunIndia
  2. 2.IPR Management ServicesTCSBhubneswarIndia

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