Results 11 to 20 of about 7,261,189 (227)
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, Brasnett, P
core +5 more sources
Multiple object tracking using particle filters [PDF]
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.
Canagarajah, N. +3 more
core +5 more sources
Structural Similarity-Based Object Tracking in Video Sequence [PDF]
This paper addresses the problem of object tracking in video sequences. The use of a structural similarity measure for tracking is proposed. The measure reflects the distance between two images by comparing their structural and spatial characteristics ...
Bull, David +11 more
core +5 more sources
Multiple Object Tracking for Occluded Particles
The precise detection and tracking of multiple particles under a microscope are of significance in the research of the individual and cluster behavior of dynamic bacteria and subcellular structures.
Yifei Qian +3 more
doaj +1 more source
Interactive multiple object tracking (iMOT). [PDF]
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 ...
Ian M Thornton +4 more
doaj +1 more source
Visual learning in multiple-object tracking. [PDF]
Tracking moving objects in space is important for the maintenance of spatiotemporal continuity in everyday visual tasks. In the laboratory, this ability is tested using the Multiple Object Tracking (MOT) task, where participants track a subset of moving ...
Tal Makovski +2 more
doaj +1 more source
Multiple Object Tracking Using Edge Multi-Channel Gradient Model With ORB Feature
Multiple object tracking based on tracking-by-detection is the most common method used in addressing illumination change and occlusion problems. In this paper, we present a tracking algorithm based on Edge Multi-channel Gradient Model.
Jieyu Chen +5 more
doaj +1 more source
Object tracking is an important basis for the autonomous navigation of unmanned surface vehicles. However, several problems still must be addressed for a wide applicating of object tracking in unmanned surface vehicles.
Qingze Yu, Bo Wang, Yumin Su
doaj +1 more source
The task of multi-object tracking via deep learning methods for UAV videos has become an important research direction. However, with some current multiple object tracking methods, the relationship between object detection and tracking is not well handled,
Yeneng Lin +5 more
doaj +1 more source
Does action disrupt Multiple Object Tracking (MOT)? [PDF]
While the relationship between action and focused attention has been well-studied, less is known about the ability to divide attention while acting.
Thornton Ian M., Horowitz Todd S.
doaj +1 more source

