Sciweavers

Share

Publication
468views
8 years 2 months ago
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR)
When appearance variation of object and its background, partial occlusion or deterioration in object images occurs, most existing visual tracking methods tend to fail in tracking ...
Zhenjun Han, Jianbin Jiao, Baochang Zhang, Qixiang...
ICONIP
2009
8 years 4 months ago
Robust Incremental Subspace Learning for Object Tracking
In this paper, we introduce a novel incremental subspace based object tracking algorithm. The two major contributions of our work are the Robust PCA based occlusion handling scheme...
Gang Yu, Zhiwei Hu, Hongtao Lu
ECCV
2010
Springer
8 years 4 months ago
Discriminative Nonorthogonal Binary Subspace Tracking
Visual tracking is one of the central problems in computer vision. A crucial problem of tracking is how to represent the object. Traditional appearance-based trackers are using inc...
Ang Li, Feng Tang, Yanwen Guo, Hai Tao
ICASSP
2010
IEEE
8 years 5 months ago
Content-aware H.264 encoding for traffic video tracking applications
The compression of video can reduce the accuracy of tracking algorithms, which is problematic for centralized applications that rely on remotely captured and compressed video for ...
Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Kats...
PR
2007
143views more  PR 2007»
8 years 6 months ago
Shadow resistant tracking using inertia constraints
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
Hao Jiang, Mark S. Drew
TCSV
2008
202views more  TCSV 2008»
8 years 6 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao
VIP
2003
8 years 7 months ago
Robust Real-Time Tracking of Non-Rigid Objects
Several approaches to real-time video object tracking are reviewed. A new alternative approach for fast real-time object tracking based on colour thresholding is presented. Tracki...
Richard Y. D. Xu, John G. Allen, Jesse S. Jin
VIP
2003
8 years 7 months ago
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
John G. Allen, Richard Y. D. Xu, Jesse S. Jin
MVA
2007
140views Computer Vision» more  MVA 2007»
8 years 7 months ago
A Review of Tracking Methods under Occlusions
Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods hav...
Zui Zhang, Massimo Piccardi
ICIP
2010
IEEE
8 years 8 months ago
Bacteria Filters: Persistent Particle Filters for Background Subtraction
Yair Movshovitz-Attias, Shmuel Peleg
books