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Object tracking is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment.

( Image credit: Towards-Realtime-MOT )

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Datasets

Latest papers without code

RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation

10 May 2021

Existing online multiple object tracking (MOT) algorithms often consist of two subtasks, detection and re-identification (ReID).

MULTIPLE OBJECT TRACKING

Faster and Simpler Siamese Network for Single Object Tracking

7 May 2021

With the development of the deep network and the release for a series of large scale datasets for single object tracking, siamese networks have been proposed and perform better than most of the traditional methods.

OBJECT DETECTION OBJECT TRACKING

Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking

6 May 2021

To address such common challenges in most of the existing trackers, in this paper, a tracklet booster algorithm is proposed, which can be built upon any other tracker.

MULTI-OBJECT TRACKING

Spatio-Temporal Matching for Siamese Visual Tracking

6 May 2021

Similarity matching is a core operation in Siamese trackers.

OBJECT TRACKING VISUAL TRACKING

An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs

4 May 2021

To the best of our knowledge, this is a first attempt to comparatively analyze the different evaluation frameworks used in the existing deep change detection methods.

ACTION RECOGNITION ANOMALY DETECTION OBJECT TRACKING

RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream

30 Apr 2021

To fill this gap, in this paper, we propose RobustFusion, a robust volumetric performance reconstruction system for human-object interaction scenarios using only a single RGBD sensor, which combines various data-driven visual and interaction cues to handle the complex interaction patterns and severe occlusions.

HUMAN-OBJECT INTERACTION DETECTION HUMAN PARSING OBJECT RECONSTRUCTION OBJECT TRACKING

Two stages for visual object tracking

28 Apr 2021

Then more accurate tracking results are obtained by segmentation module given the coarse state estimation in the first stage.

SEMANTIC SEGMENTATION VISUAL OBJECT TRACKING

Temp-Frustum Net: 3D Object Detection with Temporal Fusion

25 Apr 2021

Furthermore, ablation studies reinforce that the subject of improvement is temporal fusion and show the effects of different placements of TFM in the object detection pipeline.

3D OBJECT DETECTION OBJECT TRACKING

Learnable Online Graph Representations for 3D Multi-Object Tracking

23 Apr 2021

Tracking of objects in 3D is a fundamental task in computer vision that finds use in a wide range of applications such as autonomous driving, robotics or augmented reality.

3D MULTI-OBJECT TRACKING AUTONOMOUS DRIVING