Results 41 to 50 of about 711,042 (336)
VirtualWorlds as Proxy for Multi-object Tracking Analysis [PDF]
Computer Vision and Pattern Recognition, 2016 Modern computer vision algorithms typically require expensive data acquisition and accurate manual labeling. In this work, we instead leverage the recent progress in computer graphics to generate fully labeled, dynamic, and photo-realistic proxy virtual ...
Adrien Gaidon +3 more
semanticscholar +1 more source
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion [PDF]
IEEE International Conference on Robotics and Automation, 2021 Multi-object tracking (MOT) enables mobile robots to perform well-informed motion planning and navigation by localizing surrounding objects in 3D space and time. Existing methods rely on depth sensors (e.g., LiDAR) to detect and track targets in 3D space,
Aleksandr Kim +2 more
semanticscholar +1 more source
Research on Pedestrian Multi-Object Tracking Network Based on Multi-Order Semantic Fusion
World Electric Vehicle Journal, 2023 Aiming at the problem of insufficient tracking accuracy caused by object occlusion in the process of multi-object tracking, this paper proposes a multi-order semantic fusion pedestrian multi-object tracking network. Firstly, the feature pyramid attention
Cong Liu, Chao Han
doaj +1 more source
INTEGRATING MOTION PRIORS FOR END-TO-END ATTENTION-BASED MULTI-OBJECT TRACKING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Recent advancements in multi-object tracking (MOT) have heavily relied on object detection models, with attention-based models like DEtection TRansformer (DETR) demonstrating state-of-the-art capabilities.
R. Ali, M. Mehltretter, C. Heipke
doaj +1 more source
Multi‐template temporal information fusion for Siamese object tracking
IET Computer Vision, 2023 The object tracking algorithm based on Siamese network often extracts the deep feature of the target to be tracked from the first frame of the video sequence as a template, and uses the template for the whole tracking process.
Xiaofeng Lu +3 more
doaj +1 more source
Harnessing feedback region proposals for multi‐object tracking
IET Computer Vision, 2020 In the tracking‐by‐detection approach of online multiple object tracking (MOT), a major challenge is how to associate object detections on the new video frame with previously tracked objects.
Aswathy Prasanna Kumar, Deepak Mishra
doaj +1 more source
A Review of Deep Learning-Based Visual Multi-Object Tracking Algorithms for Autonomous Driving
Applied Sciences, 2022 Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms have evolved in recent years as a result of deep learning’s outstanding ...
Shuman Guo +7 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
Interactive multi-object tracking for virtual object manipulation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 We present an interactive system to manipulate a virtual object by tracking multiple hands in 3D space using a Kinect device. The system segments hand shapes from a captured 3D scene by using depth information and active contours.
Y. Guo, M. Ying Yang, B. Rosenhahn
doaj +1 more source
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion [PDF]
IEEE transactions on intelligent transportation systems (Print), 2022 3D Multi-object tracking (MOT) ensures consistency during continuous dynamic detection, conducive to subsequent motion planning and navigation tasks in autonomous driving.
Li Wang +9 more
semanticscholar +1 more source