Results 211 to 220 of about 49,655 (250)

Transferring Visual Prior for Online Object Tracking [PDF]

IEEE Transactions on Image Processing, 2012
Visual prior from generic real-world images can be learned and transferred for representing objects in a scene. Motivated by this, we propose an algorithm that transfers visual prior learned offline for online object tracking. From a collection of real-world images, we learn an overcomplete dictionary to represent visual prior.
Jimei Yang, Ming-Hsuan Yang
exaly   +3 more sources

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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

Collaborative strategy for visual object tracking

Multimedia Tools and Applications, 2017
Adaptively learning the difference between object and background, discriminative trackers are able to overcome the complex background problem in visual object tracking. However, they are not robust enough to handle the out-of-plane rotation of object, which reduces recall performance.
Yongquan Yang, Ning Chen, Shenlu Jiang
openaire   +1 more source

Visual object tracking: Review and challenges

Applied Soft Computing Journal
Weiping Ding, Shuai Liu
exaly   +2 more sources

Visual tracking of objects using multiresolution

XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481), 2003
Presents a methodology for multiple object tracking in image sequences at a high video rate using a multi-resolution technique based on the Haar basis of the wavelet transform. The main objective of visual tracking is to closely follow objects in each frame of a video stream such that the object position and other geometric information are always known.
Raquel A. F. Mini, Mario Fernando Montenegro Campos   +1 more
openaire   +1 more source

Visual Object Tracking

2018
Moving object tracking is to find out the candidate object region which is the most similar area in the image sequence through the effective expression of the object, that is to locate the target in the sequence image so as to obtain the complete motion trajectory of the moving target.
Shengrong Gong, Chunping Liu, Yi Ji, Baojiang Zhong, Yonggang Li, Husheng Dong   +5 more
openaire   +1 more source

Visual object tracking with autoencoder representations

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
Deep learning is the discipline of training computational models that are composed of multiple layers and these methods have recently improved the state of the art in many areas as a virtue of large labeled datasets, increase in the computational power of current hardware and unsupervised training methods.
Beril Besbinar, A. Aydin Alatan
openaire   +1 more source

Visual object tracking for handheld devices

2013 IEEE International Symposium on Industrial Electronics, 2013
This paper presents visual object tracking for handheld devices. Due to the low computation performance of handheld devices, the algorithms embedded on the devices are required to be performed with low computational consumption. The usability also should be considered at the same time.
Woo-han Yun, Dohyung Kim 0004, Jaeyeon Lee 0001, Jaehong Kim 0001   +3 more
openaire   +1 more source

An Object Tracking and Visual Servoing System for the Visually Impaired

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2006
In this work, we have taken the first step towards the creation of a computerized seeing-eye guide dog. The system we presented extends the development of assistive technology for the visually impaired into a new area: object tracking and visual servoing.
Duane J. Jacques, Ranga Rodrigo, Kenneth A. McIsaac, Jagath Samarabandu   +3 more
openaire   +1 more source