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 401450 of 1966 papers

TitleStatusHype
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4DCode1
Reliable Multi-Object Tracking in the Presence of Unreliable DetectionsCode1
Representation Learning for Visual Object Tracking by Masked Appearance TransferCode1
Fast Online and Relational TrackingCode1
ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object TrackingCode1
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and MetricCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
RGBD Object Tracking: An In-depth ReviewCode1
GMOT-40: A Benchmark for Generic Multiple Object TrackingCode1
Exploring Fusion Strategies for Accurate RGBT Visual Object TrackingCode1
AiATrack: Attention in Attention for Transformer Visual TrackingCode1
Robust Visual Tracking by SegmentationCode1
Camera Calibration through Geometric Constraints from Rotation and Projection MatricesCode1
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV TrackingCode1
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with TransformerCode1
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A BenchmarkCode1
ByteTrack: Multi-Object Tracking by Associating Every Detection BoxCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Deep Probabilistic Feature-metric TrackingCode1
3D Object Tracking with TransformerCode1
SeCo: Exploring Sequence Supervision for Unsupervised Representation LearningCode1
Segment as Points for Efficient Online Multi-Object Tracking and SegmentationCode1
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural RobotsCode1
Self-Supervised Multi-Object Tracking with Path ConsistencyCode1
Self-supervised Object Tracking with Cycle-consistent Siamese NetworksCode1
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
Semi-automatic 3D Object Keypoint Annotation and Detection for the MassesCode1
Deformable Siamese Attention Networks for Visual Object TrackingCode1
DEFT: Detection Embeddings for TrackingCode1
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
Explicit Visual Prompts for Visual Object TrackingCode1
A Lightweight and Detector-free 3D Single Object Tracker on Point CloudsCode1
Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel AttentionCode1
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
SiamMOT: Siamese Multi-Object TrackingCode1
SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object TrackingCode1
Depth Attention for Robust RGB TrackingCode1
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object TrackingCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
All-Day Object Tracking for Unmanned Aerial VehicleCode1
DepthMOT: Depth Cues Lead to a Strong Multi-Object TrackerCode1
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary TrackingCode1
Enhancing Nighttime UAV Tracking with Light Distribution SuppressionCode1
EnsembleMOT: A Step towards Ensemble Learning of Multiple Object TrackingCode1
DepthTrack: Unveiling the Power of RGBD TrackingCode1
Dynamic Object Tracking and Masking for Visual SLAMCode1
End-to-end Learning Improves Static Object Geo-localization in Monocular VideoCode1
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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