Results 41 to 50 of about 4,392,511 (325)
Transformers in Single Object Tracking: An Experimental Survey [PDF]
IEEE Access, 2023 Single-object tracking is a well-known and challenging research topic in computer vision. Over the last two decades, numerous researchers have proposed various algorithms to solve this problem and achieved promising results.
J. Kugarajeevan +3 more
semanticscholar +1 more source
Parallel tracking and detection for long-term object tracking
International Journal of Advanced Robotic Systems, 2020 High tracking frame rates have been achieved based on traditional tracking methods which however would fail due to drifts of the object template or model, especially when the object disappears from the camera’s field of view.
Dan Xiong +5 more
doaj +1 more source
Remote Sensing, 2022 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
Deep Feature Based Siamese Network for Visual Object Tracking
Energies, 2022 One of the most important and challenging research subjects in computer vision is visual object tracking. The information obtained from the first frame consists of limited and insufficient information to represent an object.
Su-Chang Lim, Jun-Ho Huh, Jong-Chan Kim
doaj +1 more source
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
Semantic and context features integration for robust object tracking
IET Image Processing, 2022 Siamese network‐based object tracking learns features of a target object marked in the first frame and that of the object in subsequent frames simultaneously and then measures similarity between two features to recognize and locate the object.
Jinzhen Yao +3 more
doaj +1 more source
Fast Online Object Tracking and Segmentation: A Unifying Approach [PDF]
Computer Vision and Pattern Recognition, 2018 In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.
Qiang Wang +4 more
semanticscholar +1 more source
Towards Grand Unification of Object Tracking [PDF]
European Conference on Computer Vision, 2022 We present a unified method, termed Unicorn, that can simultaneously solve four tracking problems (SOT, MOT, VOS, MOTS) with a single network using the same model parameters.
B. Yan +6 more
semanticscholar +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
Visual Object Tracking: The Initialisation Problem [PDF]
, 2018 Model initialisation is an important component of object tracking. Tracking algorithms are generally provided with the first frame of a sequence and a bounding box (BB) indicating the location of the object.
De Ath, George, Everson, Richard
core +2 more sources