Results 31 to 40 of about 119,312 (313)
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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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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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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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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Multiple object tracking using particle filters [PDF]
, 2006 The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
N. Canagarajah +11 more
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Tracking of rotating objects [PDF]
, 1998 A representation of a three-dimensional object is autonomously learned from a sequence of the rotating object. The representation consists of single views in form of graphs and is achieved by performing a segmentation-based tracking of the object. First we apply a segmentation algorithm which is based on gray level values. This provides the location o£
Gabriele Peters +2 more
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Binary histogram based split/merge object detection using FPGAs [PDF]
, 2010 Tracking of objects using colour histograms has proven successful in various visual surveillance systems. Such systems rely heavily on similarity matrices to compare the appearance of targets in successive frames.
Hunter, A +7 more
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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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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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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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