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A Comprehensive Analysis of Moving Object Detection Approaches in Moving Camera

  • NeerajEmail author
  • Akashdeep
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 8)

Abstract

To detect moving objects is a difficult task for various image processing and computer vision applications viz., motion segmentation, object classification and identification, behavior understanding, event detection, object tracking and object locating. The process becomes even more difficult with moving camera as compared to static camera as both camera and object motions are combined in the detection process. Moreover, almost all real time video sequences incorporate pan/tilt/zoom camera which makes it essential to detect objects in moving cameras. This paper presents a survey of various moving object detection techniques in moving cameras and gives insight picture of the methods like background subtraction, optical flow, feature based object detection and blob analysis. It also mentions pros and cons of every technique used so far individually. The use of these approaches and progress made over years has been tracked and elaborated.

Keywords

Object detection Moving camera Feature classification 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.CSE DepartmentUIET, Panjab UniversityChandigarhIndia

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