3D human pose estimation from pairs of panoramic cameras via fisheye-to-rectilinear image transformation followed by stereo reconstruction.
Simple Online and Realtime Tracking with a Deep Association Metric
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
abstract
Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms. In this paper, we integrate appearance information to improve the performance of SORT. Due to this extension we are able to track objects through longer periods of occlusions, effectively reducing the number of identity switches. In spirit of the original framework we place much of the computational complexity into an offline pre-training stage where we learn a deep association metric on a large-scale person re-identification dataset. During online application, we establish measurement-to-track associations using nearest neighbor queries in visual appearance space. Experimental evaluation shows that our extensions reduce the number of identity switches by 45%, achieving overall competitive performance at high frame rates.
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cs.CV 3verdicts
UNVERDICTED 3representative citing papers
NPLB combines YOLOv12 detection and ByteTrack tracking with an adaptive controller to extend pedestrian phases, cutting simulated stranding rates from 9.1% to 2.6% while extending signals in only 12.1% of cycles.
A system combining object detection, segmentation, keypoint prediction, and homography transforms soccer video into real-world player positions and tactical statistics.
citing papers explorer
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Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras
3D human pose estimation from pairs of panoramic cameras via fisheye-to-rectilinear image transformation followed by stereo reconstruction.
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No Pedestrian Left Behind: Real-Time Detection and Tracking of Vulnerable Road Users for Adaptive Traffic Signal Control
NPLB combines YOLOv12 detection and ByteTrack tracking with an adaptive controller to extend pedestrian phases, cutting simulated stranding rates from 9.1% to 2.6% while extending signals in only 12.1% of cycles.
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AI Driven Soccer Analysis Using Computer Vision
A system combining object detection, segmentation, keypoint prediction, and homography transforms soccer video into real-world player positions and tactical statistics.