Results 21 to 30 of about 477,456 (237)
On Pairwise Costs for Network Flow Multi-Object Tracking [PDF]
, 2015 Multi-object tracking has been recently approached with the min-cost network flow optimization techniques. Such methods simultaneously resolve multiple object tracks in a video and enable modeling of dependencies among tracks.
Chari, Visesh +3 more
core +1 more source
Enhanced Multiple-Object Tracking Using Delay Processing and Binary-Channel Verification
Applied Sciences, 2019 Tracking objects over time, i.e., identity (ID) consistency, is important when dealing with multiple object tracking (MOT). Especially in complex scenes with occlusion and interaction of objects this is challenging.
Muyu Li +5 more
doaj +1 more source
Online multiple object tracking with enhanced Re‐identification
IET Computer Vision, 2023 In existing online multiple object tracking algorithms, schemes that combine object detection and re‐identification (ReID) tasks in a single model for simultaneous learning have drawn great attention due to their balanced speed and accuracy.
Wenyu Yang +3 more
doaj +1 more source
Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network [PDF]
, 2015 For tracking systems consisting of multiple cameras with overlapping field-of-views, homography-based approaches are widely adopted to significantly reduce occlusions among pedestrians by sharing information among multiple views.
Bhanu, B, Jin, Z
core +1 more source
An advanced Bayesian model for the visual tracking of multiple interacting objects [PDF]
, 2011 Visual tracking of multiple objects is a key component of many visual-based systems. While there are reliable algorithms for tracking a single object in constrained scenarios, the object tracking is still a challenge in uncontrolled situations ...
A Doucet +29 more
core +2 more sources
Multiple object tracking using a neural cost function [PDF]
, 2009 This paper presents a new approach to the tracking of multiple objects in CCTV surveillance using a combination of simple neural cost functions based on Self-Organizing Maps, and a greedy assignment algorithm.
Andrew Hunter +3 more
core +1 more source
FusionTrack: Multiple Object Tracking with Enhanced Information Utilization
Applied Sciences, 2023 Multi-object tracking (MOT) is one of the significant directions of computer vision. Though existing methods can solve simple tasks like pedestrian tracking well, some complex downstream tasks featuring uniform appearance and diverse motion remain ...
Yifan Yang +6 more
doaj +1 more source
Thermo-visual feature fusion for object tracking using multiple spatiogram trackers [PDF]
, 2007 In this paper, we propose a framework that can efficiently combine features for robust tracking based on fusing the outputs of multiple spatiogram trackers. This is achieved without the exponential increase in storage and processing that other multimodal
Alan Smeaton +11 more
core +1 more source
Multiple Object Tracking: A Literature Review
, 2017 Multiple Object Tracking (MOT) is an important computer vision problem which has gained increasing attention due to its academic and commercial potential.
Kim, Tae-Kyun +6 more
core +1 more source
Psychological mechanisms of multiple object tracking
Экспериментальная психологияContext and relevance. The multiple object tracking task is widely used to evaluate professional abilities. In this regard, it is important to understand the underlying processes, as well as the factors contributing to interindividual ...
M.M. Tcepelevich
doaj +1 more source