Results 21 to 30 of about 34,811 (254)
Multi-Object Tracking with Siamese Track-RCNN
CoRR, 2020 Multi-object tracking systems often consist of a combination of a detector, a short term linker, a re-identification feature extractor and a solver that takes the output from these separate components and makes a final prediction. Differently, this work aims to unify all these in a single tracking system.
Bing Shuai +3 more
openaire +2 more sources
Deep Network Flow for Multi-object Tracking [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Accepted to CVPR ...
SCHULTER SAMUEL +3 more
openaire +4 more sources
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
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
MeMOT: Multi-Object Tracking with Memory
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose an online tracking algorithm that performs the object detection and data association under a common framework, capable of linking objects after a long time span. This is realized by preserving a large spatio-temporal memory to store the identity embeddings of the tracked objects, and by adaptively referencing and aggregating useful ...
Jiarui Cai +6 more
openaire +2 more sources
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
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
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