Results 221 to 230 of about 349,441 (269)

Visual tracking of object silhouettes

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
In this paper we propose a new method that addresses the problem of tracking the bitmap (silhouette) of an object in a video under very general conditions. We assume a general target, possibly non rigid, with no prior information except initialization.
Guy Boudoukh, Ido Leichter, Ehud Rivlin
openaire   +1 more source

Visual tracking by proto-objects

Pattern Recognition, 2013
In this paper, we propose a biologically inspired framework of visual tracking based on proto-objects. Given an image sequence, proto-objects are first detected by combining saliency map and topic model. Then the target is tracked based on spatial and saliency information of the proto-objects. In the proposed Bayesian approach, states of the target and
Zhidong Li   +4 more
openaire   +1 more source

A survey of appearance models in visual object tracking [PDF]

open access: yesACM Transactions on Intelligent Systems and Technology, 2013
Visual object tracking is a significant computer vision task which can be applied to many domains, such as visual surveillance, human computer interaction, and video compression. Despite extensive research on this topic, it still suffers from difficulties in handling complex object appearance changes caused by factors such as illumination variation ...
Xi Li, Weiming Hu, Chunhua Shen
exaly   +4 more sources

Saliency auxiliary objects for visual tracking

Journal of Electronic Imaging, 2019
The background contains potential favorable information for visual tracking. The recent correlation filter-based tracking methods achieve great success by densely sampling at the target and its surrounding background. To further improve the tracking ability against deformation (DEF) and occlusion (OCC), we propose to utilize auxiliary objects.
Xiangdong Zhou, Enhai Liu
openaire   +1 more source

Object tracking based on visual attention

2016 IEEE International Conference on Information and Automation (ICIA), 2016
Humans have the capability to quickly prioritize external visual stimuli and localize their most interest in a scene. Inspired by this mechanism, we propose a robust object tracking algorithm based on visual attention. We fuse motion feature and color feature to estimate the target state under the guidance of saliency map.
Mingqiang Lin, Houde Dai
openaire   +1 more source

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