SOTAVerified

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

Showing 15261550 of 1966 papers

TitleStatusHype
Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus VerificationCode0
Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video SurveillanceCode0
A fast multi-object tracking system using an object detector ensemble0
Learning Aberrance Repressed Correlation Filters for Real-Time UAV TrackingCode0
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking0
Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group ManagementCode1
Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object TrackingCode0
End-to-End Learning Deep CRF models for Multi-Object Tracking0
Real-time Visual Object Tracking with Natural Language Description0
BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen VideosCode1
Distilled Siamese Networks for Visual Tracking0
Performance-Complexity Tradeoffs in Greedy Weak Submodular Maximization with Random Sampling0
Deep Learning in Video Multi-Object Tracking: A Survey0
A Strong Feature Representation for Siamese Network Tracker0
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning0
CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis0
Extension of Sinkhorn Method: Optimal Movement Estimation of Agents Moving at Constant Velocity0
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object TrackingCode0
3D Multi-Object Tracking: A Baseline and New Evaluation MetricsCode0
Event-based attention and tracking on neuromorphic hardwareCode0
A unified neural network for object detection, multiple object tracking and vehicle re-identification0
Fast Visual Object Tracking with Rotated Bounding BoxesCode0
TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports ApplicationsCode0
Tracking system of Mine Patrol Robot for Low Illumination Environment0
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-CEUTrack-LargeSuccess Rate65Unverified
2HR-CEUTrack-BaseSuccess Rate63.2Unverified
3CEUTrack-LargeSuccess Rate62.8Unverified
4CEUTrack-BaseSuccess Rate62Unverified
5SiamR-CNNSuccess Rate60.9Unverified
6TransTSuccess Rate60.5Unverified
7SuperDiMPSuccess Rate60.2Unverified
8TrDiMPSuccess Rate60.1Unverified
9KeepTrackSuccess Rate59.6Unverified
10AiATrackSuccess Rate59Unverified
#ModelMetricClaimedVerifiedStatus
1HR-MonTrack-BaseSuccess Rate68.5Unverified
2HR-MonTrack-TinySuccess Rate66.3Unverified
3Multi-modalSuccess Rate63.4Unverified
4PrDiMPSuccess Rate59Unverified
5DiMPSuccess Rate57.1Unverified
6MonTrackSuccess Rate54.9Unverified
7ATOMSuccess Rate46.5Unverified
8KYSSuccess Rate26.6Unverified
#ModelMetricClaimedVerifiedStatus
1OmniTrackHOTA23.45Unverified
2DeepSORTHOTA21.16Unverified
3OC-SORTHOTA20.83Unverified
4ByteTrackHOTA20.66Unverified
5TrackFormerHOTA19.62Unverified
6HybridSORTHOTA16.64Unverified
7DiffMOTHOTA16.4Unverified
8Bot-SORTHOTA15.77Unverified
#ModelMetricClaimedVerifiedStatus
1DiMP50Success Rate67.33Unverified
2PrDiMP50Success Rate67Unverified
3PrDiMP18Success Rate65.9Unverified
4DiMP18Success Rate64.6Unverified
5AtomSuccess Rate63.8Unverified
#ModelMetricClaimedVerifiedStatus
1finalHumans0.14Unverified
2night_furyHumans0.05Unverified
3Yolo based methodHumans0.02Unverified
4finalHumans0Unverified
#ModelMetricClaimedVerifiedStatus
1M2-Trackmean precision83.4Unverified
2BATmean precision75.2Unverified
#ModelMetricClaimedVerifiedStatus
1UMMT3DMOTA95Unverified
2MMPTRACK3DMOTA94.8Unverified
#ModelMetricClaimedVerifiedStatus
1Siam-FCAverage IOU0.66Unverified
#ModelMetricClaimedVerifiedStatus
1RT-MDNetPrecision Plot0.63Unverified