• Corpus ID: 8596800

Real Time Object Tracking Based on Inter-frame Coding: A Review

  title={Real Time Object Tracking Based on Inter-frame Coding: A Review},
  author={Shraddha Mehta and Vaishali Kalariya},
Inter-frame Coding plays significant role for video Compression and Computer Vision. Computer vision systems have been incorporated in many real life applications (e.g. surveillance systems, medical imaging, robot navigation and identity verification systems).Object tracking is a key computer vision topic, which aims at detecting the position of a moving object from a video sequence. The application of Inter-frame Coding for low frame rate video, as well as for low resolution video. Various… 

Figures and Tables from this paper


Object tracking using adaptive block matching
An object-tracking algorithm that predicts the object contour using motion vector information and classification into actual occlusions and false alarms using motion characteristics is proposed.
Block Matching for Object Tracking
The experiments showed that the block matching algorithm yields good object tracking results and can be used with high success on low resolution and low frame rate video data, and a technique based on frame history successfully overcame false motion caused by small camera movements.
Video object tracking with feedback of performance measures
A scalable object tracking framework, which is capable of tracking the contour of nonrigid objects in the presence of occlusion, that can be adapted to track a coarse estimate of the boundary of selected objects in real-time, as well as pixel-accurate boundary tracking in off-line mode.
Fast object tracking using adaptive block matching
A fast object tracking algorithm that predicts the object contour using motion vector information and is computationally superior to existing region-based methods for object tracking is proposed.
VORTEX: Video Retrieval and Tracking from Compressed Multimedia Databases - Multiple Object Tracking from MPEG-2 Bit Stream
A novel approach to multiple object tracking from compressed multimedia databases is presented, intended to operate in a distributed environment, where users initiate video searches and retrieve relevant video information simultaneously from multiple compressed video archives.
An efficient object tracking technique using block-matching algorithm
The difference technique and block-matching algorithm (BMA) are employed to achieve this purpose and the maximum repetition motion vector is taken to represent the motion of the moving object.
A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video
This work proposes a Bayesian approach to find correspondences between moving objects over frames by using color values and position information of the moving objects as observations, and probabilistically assign tracks to those objects.
Tracking visible boundary of objects using occlusion adaptive motion snake
The proposed snake energy terms are associated with contour segments and they are scale/resolution independent to allow multi-resolution contour tracking without the need to retune the weights of the energy terms at each resolution level.
Online) | ISSN : 2229-4333 (Print) Shraddha Mehta received her B.E. degree in Computer Science Engineering from Gujarat Technological University
  • 2008, and pursuing M.Tech. degree in Computer Engineering from RK University 2012 to 2013.Her research interests includes with Image Processing. At present, She is engaged in Real Time Object Tracking Based On Inter-Frame Coding
  • 2014
San - Video Object Tracking With Feedback of Performance Measures - IEEE Transactions on circuits and systems for video technology
  • vol. 13,
  • 2013