Motion-Based Video Object Tracking in the Compressed Domain

Ritch, Matthew D.; Canagarajah, N.

doi:10.1109/icip.2007.4379581

“…No shape or motion priors are required for this tracking algorithm [3], shape based object recognition in Videos Using 3D Synthetic Object Models [4], a method of moving object detection on moving platforms is proposed. This method composed of moving blob detection and shape refinement phases to provide robust moving object detection result [5], propose a method to identify and track an object of interest within compressed MPEG-2 video using only motion information [6], estimating 3D geometry and motion of dynamic scenes based on captured stereo sequences. A dynamic programming based technique is used [7], presents perceptual organization based method for real-time license plate identification and tracking [8], Presents a novel motion estimation method for mesh-based video motion tracking.…”

Section: Related Workmentioning

confidence: 99%

Path Estimation and Motion Detection of Moving Object in Videos

Sekhonq¹

2012

IOSRJCE

3

0

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“…It is only applied in two-dimensional motion cases such as that the camera moves only up and down. Mark Ritch, Nishan Canagarajah [6], proposed a method to identify and track an object of interest within compressed MPEG-2 video using only motion information. The system is designed to detect interesting events taking place, such as moving object appearing and to track it without the need to decode the video.…”

Section: Mohammed Sayed and Wael Badawymentioning

confidence: 99%

Moving Object Analysis Techniques In Videos - A Review

Sekhon¹

2012

IOSRJCE

2

0

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Object tracking is an important task within the field of computer vision. It is a challenging problem. Many difficulties arises in tracking the objects due to abrupt object motion, changing appearance patterns of both the object and the scene, non-rigid object structures, object-to-object and object-to-scene occlusions, and camera motion. This paper selectively reviews the research papers with regard to tracking methods on the basis of the object, their motion representations and all detailed descriptions of representative methods in each category examining their advantages/disadvantages. It also discusses the important issues related to tracking including the use of object representation, tracking, and detection.

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“…No shape or motion priors are required for this tracking algorithm [3], shape based object recognition in Videos Using 3D Synthetic Object Models [4], a method of moving object detection on moving platforms is proposed. This method composed of moving blob detection and shape refinement phases to provide robust moving object detection result [5], propose a method to identify and track an object of interest within compressed MPEG-2 video using only motion information [6], estimating 3D geometry and motion of dynamic scenes based on captured stereo sequences. A dynamic programming based technique is used [7], presents perceptual organization based method for real-time license plate identification and tracking [8], Presents a novel motion estimation method for mesh-based video motion tracking.…”

Section: Related Workmentioning

confidence: 99%

Untitled

2012

IOSRJCE

0

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This paper discusses an efficient and effective approach for identifying and tracking of moving object from a video. A video is captured by stationary camera. Moving object tracking and detection from video sequences has applications in several areas such as automatic video surveillance, motion-based recognition, video indexing, human-computer interaction, traffic monitoring, and vehicle navigation. In this work, we present a computer vision-based approach for object tracking and detection. A method is proposed to detect and track moving object through video even if background is changed at any instant and capable of plotting a 3D graph mesh based on the moving object in between any number of frames per second. We use consecutive frame analysis technique to detect background changing criteria and use morphological filtering for image enhancement. Finally, we will get the co-ordinates for the moving object and these co-ordinates are imported to any other 3D software's like MAYA etc to analyze or edit the results calculated by the algorithm.

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Motion-Based Video Object Tracking in the Compressed Domain

Cited by 17 publications

References 7 publications

Path Estimation and Motion Detection of Moving Object in Videos

Path Estimation and Motion Detection of Moving Object in Videos

Moving Object Analysis Techniques In Videos - A Review

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