Results 21 to 30 of about 87,177 (263)
Adaptive Objectness for Object Tracking
IEEE Signal Processing Letters, 2016 Object tracking is a long standing problem in vision. While great efforts have been spent to improve tracking performance, a simple yet reliable prior knowledge is left unexploited: the target object in tracking must be an object other than non-object.
Pengpeng Liang +4 more
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Tracking Objects as Points [PDF]
, 2020 ECCV 2020 Camera-ready version. Updated track rebirth results.
Xingyi Zhou +2 more
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Topology Based Object Tracking
Mathematical and Computational Applications, 2019 A model for tracking objects whose topological properties change over time is proposed. Such changes include the splitting of an object into multiple objects or the merging of multiple objects into a single object.
Padraig Corcoran
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Drone Based RGBT Tracking with Dual-Feature Aggregation Network
Drones, 2023 In the field of drone-based object tracking, utilization of the infrared modality can improve the robustness of the tracker in scenes with severe illumination change and occlusions and expand the applicable scene of the drone object tracking task ...
Zhinan Gao +4 more
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SIAMESE NETWORK COMBINED WITH ATTENTION MECHANISM FOR OBJECT TRACKING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 After the development of deep learning object tracking methods in recent years, the fully convolutional siamese network object tracking algorithm SiamFC has become a more classic deep learning object tracking algorithm.
D. Zhang +4 more
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Perception & Psychophysics, 2007 Is content addressable in the representation that subserves performance in multiple-object-tracking (MOT) experiments? We devised an MOT variant that featured unique, nameable objects (cartoon animals) as stimuli. There were two possible response modes: standard, in which observers were asked to report the locations of all target items, and specific ...
Horowitz, Todd S. +5 more
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Dynamic Object Tracking Tree in Wireless Sensor Network
EURASIP Journal on Wireless Communications and Networking, 2010 Recent advances in embedded microsensing technologies and low-energy cost sensors have made wireless sensor networks possible. Object tracking is an important research of wireless sensor networks.
Hu Che-Chen, Weng Wen-Yen, Chen Min-Xiou
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Interactive multi-object tracking for virtual object manipulation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 We present an interactive system to manipulate a virtual object by tracking multiple hands in 3D space using a Kinect device. The system segments hand shapes from a captured 3D scene by using depth information and active contours.
Y. Guo, M. Ying Yang, B. Rosenhahn
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Tracking-by-Segmentation Using Superpixel-Wise Neural Network
IEEE Access, 2018 A tracking-by-segmentation algorithm, which tracks and segments a target object in a video sequence, is proposed in this paper. In the first frame, we segment out the target object in a user-annotated bounding box.
Se-Ho Lee, Won-Dong Jang, Chang-Su Kim
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Object Tracking Using Siamese Network-Based Reinforcement Learning
IEEE Access, 2022 Object tracking is a technique for tracking a specific object appearing in a video sequence while observing its features or changes. Recently, many algorithms showing high performance have emerged by applying the Siamese network to the object tracking ...
Sung Jun Park +2 more
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