Object Tracking

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. State-of-the-art methods involve fusing data from RGB and event-based cameras to produce more reliable object tracking. CNN-based models using only RGB images as input are also effective. The most popular benchmark is OTB. There are several evaluation metrics specific to object tracking, including HOTA, MOTA, IDF1, and Track-mAP.

( Image credit: Towards-Realtime-MOT )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1351–1375 of 1966 papers

Title	Date	Tasks	Status
Overlapping neural representations for the position of visible and imagined objects	Nov 11, 2020	EEGElectroencephalogram (EEG)	—Unverified
Faster object tracking pipeline for real time tracking	Nov 8, 2020	GPUMulti-Object Tracking	—Unverified
Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association	Nov 6, 2020	image-classificationImage Classification	—Unverified
Motion Prediction on Self-driving Cars: A Review	Nov 6, 2020	Autonomous VehiclesDeep Reinforcement Learning	—Unverified
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss	Nov 4, 2020	3D Object DetectionObject	CodeCode Available
SMOT: Single-Shot Multi Object Tracking	Oct 30, 2020	Multi-Object TrackingObject	CodeCode Available
Dynamic Resource-aware Corner Detection for Bio-inspired Vision Sensors	Oct 29, 2020	ARCObject Tracking	—Unverified
Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks	Oct 29, 2020	Autonomous DrivingMotion Forecasting	—Unverified
Multi-object tracking with self-supervised associating network	Oct 26, 2020	Multi-Object TrackingObject	—Unverified
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals	Oct 25, 2020	EEGElectroencephalogram (EEG)	—Unverified
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking	Oct 22, 2020	3D Single Object TrackingObject	—Unverified
Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking	Oct 20, 2020	3D Object TrackingMotion Estimation	—Unverified
Multiple Pedestrians and Vehicles Tracking in Aerial Imagery: A Comprehensive Study	Oct 19, 2020	Multi-Object TrackingObject	—Unverified
Tracklets Predicting Based Adaptive Graph Tracking	Oct 18, 2020	Autonomous DrivingGraph Neural Network	—Unverified
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes	Oct 16, 2020	Multi-Object TrackingObject Tracking	—Unverified
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM	Oct 15, 2020	Autonomous DrivingDecision Making	—Unverified
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking	Oct 15, 2020	Multiple Object TrackingMultiple People Tracking	—Unverified
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes	Oct 15, 2020	Multiple Object TrackingObject Tracking	CodeCode Available
Object Tracking Using Spatio-Temporal Future Prediction	Oct 15, 2020	Future predictionObject	—Unverified
Joint Scene and Object Tracking for Cost-Effective Augmented Reality Assisted Patient Positioning in Radiation Therapy	Oct 5, 2020	CPUGPU	—Unverified
DOT: Dynamic Object Tracking for Visual SLAM	Sep 30, 2020	Instance SegmentationObject	—Unverified
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure	Sep 22, 2020	Multi-Object TrackingObject	—Unverified
Ground-truth or DAER: Selective Re-query of Secondary Information	Sep 16, 2020	Object TrackingScene Classification	CodeCode Available
3D Object Detection and Tracking Based on Streaming Data	Sep 14, 2020	3D Object DetectionObject	—Unverified
Hard Occlusions in Visual Object Tracking	Sep 10, 2020	ObjectObject Tracking	—Unverified

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All datasets COESOT FE108 QuadTrack SeaDronesSee BIRDSAI - ICVGIP 2020 KITTI MMPTRACK Perception Test VisEvent

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	HR-CEUTrack-Large	Success Rate	65	—	Unverified
2	HR-CEUTrack-Base	Success Rate	63.2	—	Unverified
3	CEUTrack-Large	Success Rate	62.8	—	Unverified
4	CEUTrack-Base	Success Rate	62	—	Unverified
5	SiamR-CNN	Success Rate	60.9	—	Unverified
6	TransT	Success Rate	60.5	—	Unverified
7	SuperDiMP	Success Rate	60.2	—	Unverified
8	TrDiMP	Success Rate	60.1	—	Unverified
9	KeepTrack	Success Rate	59.6	—	Unverified
10	AiATrack	Success Rate	59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HR-MonTrack-Base	Success Rate	68.5	—	Unverified
2	HR-MonTrack-Tiny	Success Rate	66.3	—	Unverified
3	Multi-modal	Success Rate	63.4	—	Unverified
4	PrDiMP	Success Rate	59	—	Unverified
5	DiMP	Success Rate	57.1	—	Unverified
6	MonTrack	Success Rate	54.9	—	Unverified
7	ATOM	Success Rate	46.5	—	Unverified
8	KYS	Success Rate	26.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OmniTrack	HOTA	23.45	—	Unverified
2	DeepSORT	HOTA	21.16	—	Unverified
3	OC-SORT	HOTA	20.83	—	Unverified
4	ByteTrack	HOTA	20.66	—	Unverified
5	TrackFormer	HOTA	19.62	—	Unverified
6	HybridSORT	HOTA	16.64	—	Unverified
7	DiffMOT	HOTA	16.4	—	Unverified
8	Bot-SORT	HOTA	15.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DiMP50	Success Rate	67.33	—	Unverified
2	PrDiMP50	Success Rate	67	—	Unverified
3	PrDiMP18	Success Rate	65.9	—	Unverified
4	DiMP18	Success Rate	64.6	—	Unverified
5	Atom	Success Rate	63.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	final	Humans	0.14	—	Unverified
2	night_fury	Humans	0.05	—	Unverified
3	Yolo based method	Humans	0.02	—	Unverified
4	final	Humans	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	M2-Track	mean precision	83.4	—	Unverified
2	BAT	mean precision	75.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UMMT	3DMOTA	95	—	Unverified
2	MMPTRACK	3DMOTA	94.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Siam-FC	Average IOU	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RT-MDNet	Precision Plot	0.63	—	Unverified