Results 41 to 50 of about 627,313 (281)
Visual object tracking performance measures revisited [PDF]
, 2016 The problem of visual tracking evaluation is sporting a large variety of performance measures, and largely suffers from lack of consensus about which measures should be used in experiments.
Kristan, Matej +2 more
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +2 more sources
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
doaj +1 more source
Intracellular objects tracking
European Journal of Cell Biology, 2007 The tracking of intracellular organelles and vesicles is becoming increasingly important for understanding cellular dynamics. Originally, the development of tracking algorithms was mainly pursued in other fields, e.g. aerospace/military/street surveillance. However, most of this algorithm is not directly applicable to live cell microscopy data. Here we
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
A study in the cognition of individuals’ identity: Solving the problem of singular cognition in object and agent tracking [PDF]
, 2007 This article compares the ability to track individuals lacking mental states with the ability to track intentional agents. It explains why reference to individuals raises the problem of explaining how cognitive agents track unique individuals and in what
Bullot, Dr. Nicolas, Rysiew, Dr. Patrick
core +1 more source
Interactive Multiple Object Tracking (iMOT)
PLoS ONE, 2014 We introduce a new task for exploring the relationship between action and attention. In this interactive multiple object tracking (iMOT) task, implemented as an iPad app, participants were presented with a display of multiple, visually identical disks which moved independently.
Thornton, Ian M. +4 more
openaire +7 more sources