Results 21 to 30 of about 7,261,189 (227)
A Data Association Algorithm for Multiple Object Tracking in Video Sequences [PDF]
, 2006 This paper presents a particle filtering algorithm for multiple object tracking. The proposed particle filter (PF) embeds a data association technique based on the joint probabilistic data association (JPDA) which handles the uncertainty of the ...
Canagarajah, N. +3 more
core +5 more sources
Extended Object Tracking Using Monte Carlo Methods. [PDF]
, 2008 —This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended object tracking are proposed: an Interacting Multiple Model Data Augmentation (IMM ...
Angelova, D, Mihaylova, L
core +4 more sources
Semantic‐guided fusion for multiple object tracking and RGB‐T tracking
IET Image Processing, 2023 The attention mechanism has produced impressive results in object tracking, but for a good trade‐off between performance and efficiency, CNN‐based approaches still dominate, owing to quadratic complexity of attention. Here, the SGF module is proposed, an
Xiaohu Liu +3 more
doaj +1 more source
Object Tracking with Multiple Instance Learning and Gaussian Mixture Model [PDF]
, 2015 Recently, Multiple Instance Learning (MIL) technique has been introduced for object tracking\linebreak applications, which has shown its good performance to handle drifting problem. While some instances in positive bags not only contain objects, but also
Zhao, Xiangmo +4 more
core +1 more source
MULTIPLE VEHICLES AND PEOPLE TRACKING IN AERIAL IMAGERY USING STACK OF MICRO SINGLE-OBJECT-TRACKING CNNS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Geo-referenced real-time vehicle and person tracking in aerial imagery has a variety of applications such as traffic and large-scale event monitoring, disaster management, and also for input into predictive traffic and crowd models.
R. Bahmanyar, S. M. Azimi, P. Reinartz
doaj +1 more source
Toward Real-Time UAV Multi-Target Tracking Using Joint Detection and Tracking
IEEE Access, 2023 Multiple object tracking (MOT) of unmanned aerial vehicle (UAV) systems is essential for both defense and civilian applications. As drone technology moves towards real-time, conventional tracking algorithms cannot be directly applied to UAV videos due to
Tinnakorn Keawboontan +1 more
doaj +1 more source
International Journal of Computational Intelligence Systems, 2016 In the area of video surveillance, tracking model for multiple object video is still a challenging task since the objects are usually affected with inter-object occlusion, object confusion, different posing, environment with heavy clutter, small size of ...
Felix M. Philip, Rajeswari Mukesh
doaj +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
UMOTMA: Underwater multiple object tracking with memory aggregation
Frontiers in Marine Science, 2022 Underwater multi-object tracking (UMOT) is an important technology in marine animal ethology. It is affected by complex factors such as scattering, background interference, and occlusion, which makes it a challenging computer vision task.
Zhicheng Hao +4 more
doaj +1 more source
Real-time multiple object tracking using virtual shells [PDF]
, 2012 This paper presents a new multiple object tracking framework where arbitrarily shaped complex objects having severe occlusions are successfully tracked in real-time using stationary cameras.
Erdoğan, Hakan +2 more
core +1 more source