Results 31 to 40 of about 68,167 (308)
Sequential Monte Carlo tracking by fusing multiple cues in video sequences [PDF]
This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, edge and texture cues.
Mihaylova, L +5 more
core +1 more source
High-resolution satellite video single object tracking based on thicksiam framework
High-resolution satellite videos realize the short-dated gaze observation of the designated area on the ground, and its emergence has improved the temporal resolution of remote sensing data to the second level.
Xiaodong Zhang +6 more
doaj +1 more source
Multi-object Tracking with a Hierarchical Single-branch Network
Recent Multiple Object Tracking (MOT) methods have gradually attempted to integrate object detection and instance re-identification (Re-ID) into a united network to form a one-stage solution. Typically, these methods use two separated branches within a single network to accomplish detection and Re-ID respectively without studying the inter-relationship
Fan Wang +4 more
openaire +2 more sources
Vision-based toddler tracking at home [PDF]
This paper presents a vision-based toddler tracking system for detecting risk factors of a toddler's fall within the home environment. The risk factors have environmental and behavioral aspects and the research in this paper focuses on the behavioral ...
Wright, David +8 more
core +1 more source
The Application of Image Processing to Solve Occlusion Issue in Object Tracking
Object tracking is a computer vision field that involves identifying and tracking either a single or multiple objects in an environment. This is extremely useful to help observe the movements of the target object like people in the street or cars on the ...
Cheong Yun Zhe, Chew Wei Jen
doaj +1 more source
Multi-UAV Multi-Object Tracking Based on Deep Learning [PDF]
Unmanned Aerial Vehicle (UAV) Multi-Object Tracking (MOT) technology is widely used in various fields such as traffic operation, safety monitoring, and water area inspection.
ZHOU Hanqi, FANG Dongxu, ZHANG Ningbo, SUN Wensheng
doaj +1 more source
TOPSIS Aided Object Pose Tracking on RGB Images
In the problem of object pose estimation, one way to cope with the effect of ambiguity is to use multiple hypotheses. In this work, rather than generating the output pose based on a single object pose, our objective is to enable the system to be aware of
Mateusz Majcher, Bogdan Kwolek
doaj +1 more source
A sparsity-driven approach to multi-camera tracking in visual sensor networks [PDF]
In this paper, a sparsity-driven approach is presented for multi-camera tracking in visual sensor networks (VSNs). VSNs consist of image sensors, embedded processors and wireless transceivers which are powered by batteries. Since the energy and bandwidth
Çetin, Müjdat +3 more
core +1 more source
One-Shot Scale and Angle Estimation for Fast Visual Object Tracking
Visual object tracking is the process of tracking an arbitrary object in a video, where the bounding box of the object is given in the first frame. Siamese network-based visual object tracking approaches have recently received considerable attention for ...
Dong-Hyun Lee
doaj +1 more source
Real-time embedded object detection and tracking system in Zynq SoC
With the increasing application of computer vision technology in autonomous driving, robot, and other mobile devices, more and more attention has been paid to the implementation of target detection and tracking algorithms on embedded platforms.
Qingbo Ji +3 more
doaj +1 more source

