Results 231 to 240 of about 349,441 (269)
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
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Collaborative strategy for visual object tracking
Multimedia Tools and Applications, 2017Adaptively 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
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Visual object tracking: Review and challenges
Applied Soft Computing JournalWeiping Ding, Shuai Liu
exaly +2 more sources
Visual object tracking for handheld devices
2013 IEEE International Symposium on Industrial Electronics, 2013This 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 +3 more
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Visual object tracking with autoencoder representations
2016 24th Signal Processing and Communication Application Conference (SIU), 2016Deep 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
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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 +5 more
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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 +5 more
openaire +1 more source
Visual tracking of objects using multiresolution
XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481), 2003Presents 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 +1 more
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An Object Tracking and Visual Servoing System for the Visually Impaired
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2006In 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 +3 more
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Visual object tracking: A survey
Computer Vision and Image Understanding, 2022Fei Chen +4 more
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Visual Saliency Based Object Tracking
2010This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globally. When detecting the salient object, the saliency features are effectively combined in Conditional Random Field (CRF).
Geng Zhang +4 more
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