The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W4, 151–154, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W4-151-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W4, 151–154, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W4-151-2017

  26 Sep 2017

26 Sep 2017

EVALUATION OF MOVING OBJECT DETECTION BASED ON VARIOUS INPUT NOISE USING FIXED CAMERA

N. Kiaee1, E. Hashemizadeh2, and N. Zarrinpanjeh3 N. Kiaee et al.
  • 1Department of ComputerEnginnering,KarajBranch,IslamicAzadUniversity,Karaj,Iran
  • 2Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
  • 3Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Keywords: Background subtraction, Morphological operation, Moving object detection, Computer vision, Video surveillance, Fixed camera

Abstract. Detecting and tracking objects in video has been as a research area of interest in the field of image processing and computer vision. This paper evaluates the performance of a novel method for object detection algorithm in video sequences. This process helps us to know the advantage of this method which is being used. The proposed framework compares the correct and wrong detection percentage of this algorithm. This method was evaluated with the collected data in the field of urban transport which include car and pedestrian in fixed camera situation. The results show that the accuracy of the algorithm will decreases because of image resolution reduction.