Results 21 to 30 of about 103,598 (304)
Local Metrics for Multi-Object Tracking
CoRR, 2021 This paper introduces temporally local metrics for Multi-Object Tracking. These metrics are obtained by restricting existing metrics based on track matching to a finite temporal horizon, and provide new insight into the ability of trackers to maintain identity over time.
Jack Valmadre +5 more
openaire +2 more sources
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
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
On the detection-to-track association for online multi-object tracking [PDF]
Pattern Recognition Letters, 2021 Driven by recent advances in object detection with deep neural networks, the tracking-by-detection paradigm has gained increasing prevalence in the research community of multi-object tracking (MOT). It has long been known that appearance information plays an essential role in the detection-to-track association, which lies at the core of the tracking-by-
Xufeng Lin +3 more
openaire +3 more sources
TrackFormer: Multi-Object Tracking with Transformers
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 The challenging task of multi-object tracking (MOT) requires simultaneous reasoning about track initialization, identity, and spatio-temporal trajectories. We formulate this task as a frame-to-frame set prediction problem and introduce TrackFormer, an end-to-end trainable MOT approach based on an encoder-decoder Transformer architecture.
Tim Meinhardt +3 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
Regional variance for multi-object filtering [PDF]
, 2014 Recent progress in multi-object filtering has led to algorithms that compute the first-order moment of multi-object distributions based on sensor measurements.
Delande, Emmanuel D +5 more
core +1 more source