2011
DOI: 10.5391/ijfis.2011.11.2.118
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Abstract: Video based object tracking normally deals with non-stationary image streams that change over time. Robust and real time moving object tracking is considered to be a problematic issue in computer vision. Multiple object tracking has many practical applications in scene analysis for automated surveillance. In this paper, we introduce a specified object tracking based particle filter used in an environment of multiple moving objects. A differential image region based tracking method for the detection of multiple… Show more

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Cited by 10 publications
(3 citation statements)
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“…The study on the occlusion can be divided into two kinds. The one is using color and shape information [15] and other is movement information of target object by using particle filer or Kalman filter algorithm [16,20]. However, when both the objects have identical or similar colors, and are of similar shape, then the tracking may fail.…”
Section: Selection Of Object By Color Information [15]mentioning
confidence: 99%
“…The study on the occlusion can be divided into two kinds. The one is using color and shape information [15] and other is movement information of target object by using particle filer or Kalman filter algorithm [16,20]. However, when both the objects have identical or similar colors, and are of similar shape, then the tracking may fail.…”
Section: Selection Of Object By Color Information [15]mentioning
confidence: 99%
“…Long-range moving objects were detected by a drone in [6]. Visual tracking is of intense interest, with the development of digital camera technology and image processing technology [7][8][9][10][11]. Various experimental studies were surveyed in [7].…”
Section: Introductionmentioning
confidence: 99%
“…Various experimental studies were surveyed in [7]. A particle filter was utilized with background subtraction in [8]. Deep learning-based visual tracking was researched in [9].…”
Section: Introductionmentioning
confidence: 99%