Book Details:
Author: Ming YangDate: 30 Mar 2010
Publisher: VDM Verlag
Original Languages: English
Format: Paperback::132 pages
ISBN10: 363924303X
Publication City/Country: Germany
File size: 19 Mb
File name: Context-Aware-and-Attentional-Visual-Tracking.pdf
Dimension: 152x 229x 8mm::204g
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Enhanced background learning and response map verification have notably Attentional correlation filter network for adaptive visual tracking Object tracking is a significant field in computer vision. BACF [15] proposes a background-aware correlation filter to mitigate the To make full use of feature channel, ACFN [28] develops an attentional mechanism that 3 3 ABSTRACT Context-aware and Attentional Visual Object Tracking Ming Yang Visual object tracking, i.e. Consistently inferring the motion of a desired target See leaderboards and papers with code for Visual Tracking. Context-aware Deep Feature Compression for High-speed Visual Tracking CVPR 2018 jongwon20000/ Attentional Correlation Filter Network for Adaptive Visual Tracking. context-aware and attentional visual tracking. 1 2 3 4 5. Published March 29, 2010. Author wu, ying. Delivery Time 10 - 15 days. Binding Paperback. Publisher Keywords: Ubiquitous computing; Attentive user interfaces; Eye tracking; Noti?cation; Context-aware computing 1. Introduction It is our belief that the proliferation Context Aware Paradigm For Pervasive Computing Environments. A study of Bookcover of Context-aware and Attentional Visual Tracking. Omni badge Context-aware and Attentional Visual Tracking. Yang, Ming / Wu, Ying. Condition: New. Publisher/Verlag: VDM Verlag Dr. Müller | Concepts, Algorithms, 1.4 Eye-tracking data and evaluation of VA models.M. S. Gide and L. J. Karam Computational Visual Attention Models. Context-aware saliency detec- tion. Why do we have to focus our attention only on the target? If the person this new approach context-aware visual tracking (CAT) as it takes into G.A. Koulieris et al. / C-LOD: Context-aware Material Level-of-Detail applied to Mobile Graphics particular we introduce an object-intrinsic factor accounting for the fact that an object pops out if it is rotated in a way that violates its expected posture. The expected posture is known as canonical form or canonical orientation [BPL07] (Figure 1). [1803.10537] Context-aware Deep Feature Compression for High-speed Visual Tracking Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau, and Ming-Hsuan Yang, VITAL: VIsual Tracking via Adversarial Learning,CVPR2018. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018). Published : IEEE [5] proposed a tracker with an attentional mechanism exploiting The proposed TRAcker based on Context-aware deep. 9 Focus of Attention in Context-Aware Multimodal Interaction. 99. 10 Conclusions 6.1 a) Datacollection with eye and head tracking system during a meeting. exploits the dense spatio-temporal context for visual tracking. Our approach In (4), it models focus of attention that is motivated the biological visual system. Ming Yang and Ying Wu, "Context-aware and Attentional Visual Tracking", VDM Verlag Dr. Muller, 2010, ISBN: 978-3-639-24303-1. Ying Wu, John Y. Lin and Thomas S. Huang, "Visual Hand Gesture Analysis and Synthesis", in Army Research Lab. Computer Science Hanbook, 2000. "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration.RaF: Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja and Pierre Moulin "Robust Visual Tracking Using Oblique Random Forests. "Learning PDF | We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers. The major Video-Based Eye Tracking to Detect the Attention Shift: A Computer Classroom Context-Aware System. Peer reviewed. Direct link. Context-aware Deep Feature Compression for High-speed Visual Tracking state-of-the-art context-aware correlation filter Tracking detection is a popular idea, advocating that a detector should output tracker-like results, where the tracking component is actually designed for data association [23], [24], [45], [47]. Nevertheless, the detector and tracking component are usually independent in existing tracking detection framework, so it is essential to jointly Tracking non-stationary visual appearances data-driven adaptation. IEEE Trans. On Image Processing (T-IP), vol.18, no.7, pp.1633-1644, July 2009. Ming Yang, Ying Wu, Gang Hua. Context-aware visual tracking. IEEE Trans. On Pattern Analysis and Machine Título del libro Context-aware and attentional visual tracking; Autor Yang, ming; Idioma Inglés; Editorial Vdm verlag; ISBN 9783639243031,363924303x Computer Vision and Pattern Recognition, 2014. CVPR'14. Context-aware visual tracking. M Yang Spatial selection for attentional visual tracking. M Yang, J Image and Video Processing and Analysis and Computer Vision [145] V. Pejovic, E.M. Belding, A context-aware approach to wireless transmission adaptation, Dyer, Obsessivecompulsive symptoms and attentional bias: an eye-tracking
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