Results 21 to 30 of about 119,312 (313)
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
Structural Similarity-Based Object Tracking in Video Sequence [PDF]
, 2006 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 +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
On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data [PDF]
, 2012 This paper considers the challenging task of real time extended object tracking using cluttered measurements from laser range scanners. The performance of the recently proposed Box Particle Filter (Box PF) algorithm is evaluated utilising real ...
Gning, Amadou +13 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
Multi-Object Tracking on SWIR Images for City Surveillance in an Edge-Computing Environment
Sensors, 2023 Although Short-Wave Infrared (SWIR) sensors have advantages in terms of robustness in bad weather and low-light conditions, the SWIR images have not been well studied for automated object detection and tracking systems.
Jihun Park +3 more
doaj +1 more source
On-line learning of shape information for object segmentation and tracking [PDF]
, 2009 We present segmentation and tracking of deformable objects using non-linear on-line learning of high-level shape information in the form of a level set function.
Chiverton, John +7 more
core +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
QIMERA: a software platform for video object segmentation and tracking [PDF]
, 2003 In this paper we present an overview of an ongoing collaborative project in the field of video object segmentation and tracking. The objective of the project is to develop a flexible modular software architecture that can be used as test-bed for ...
Murphy, Noel +5 more
core +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