Multiple Moving Object Recognitions in Video Based on Log Gabor-PCA Approach

  • M. T. Gopalakrishna
  • M. Ravishankar
  • D. R. Rameshbabu
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 235)


Object recognition in the video sequence or images is one of the subfield of computer vision. Moving object recognition from a video sequence is an appealing topic with applications in various areas such as airport safety, intrusion surveillance, video monitoring, intelligent highway, etc. Moving object recognition is the most challenging task in intelligent video surveillance system. In this regard, many techniques have been proposed based on different methods. Despite of its importance, moving object recognition in complex environments is still far from being completely solved for low resolution videos, foggy videos, and also dim video sequences. All in all, these make it necessary to develop exceedingly robust techniques. This paper introduces multiple moving object recognition in the video sequence based on LoG Gabor-PCA approach and Angle based distance Similarity measures techniques used to recognize the object as a human, vehicle etc. Number of experiments are conducted for indoor and outdoor video sequences of standard datasets and also our own collection of video sequences comprising of partial night vision video sequences. Experimental results show that our proposed approach achieves an excellent recognition rate. Results obtained are satisfactory and competent.


Moving object recognition LoG Gabor-PCA IntelligentVideo Surveillance 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • M. T. Gopalakrishna
    • 1
  • M. Ravishankar
    • 1
  • D. R. Rameshbabu
    • 2
  1. 1.Department of ISEDayananda Sagar College of EngineeringBangaloreIndia
  2. 2.Department of CSEDayananda Sagar College of EngineeringBangaloreIndia

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