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

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Showing 951–975 of 1966 papers

TitleStatusHype
Lighter Stacked Hourglass Human Pose Estimation—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
Full Reference Objective Quality Assessment for Reconstructed Background Images—0
Lightweight RGB-T Tracking with Mobile Vision Transformers—0
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving—0
Linear Object Detection in Document Images using Multiple Object Tracking—0
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking—0
Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations—0
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking—0
From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—0
A Survey on Hardware Implementations of Visual Object Trackers—0
Discussion among Different Methods of Updating Model Filter in Object Tracking—0
Local Subspace Collaborative Tracking—0
Long Range Object-Level Monocular Depth Estimation for UAVs—0
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization—0
Frame-wise Motion and Appearance for Real-time Multiple Object Tracking—0
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval—0
Long-term Tracking in the Wild: A Benchmark—0
Distractor-aware Event-based Tracking—0
Forensic Video Analytic Software—0
A Survey for Deep RGBT Tracking—0
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics—0
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision—0
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning—0
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All datasetsCOESOTFE108QuadTrackSeaDronesSeeBIRDSAI - ICVGIP 2020KITTIMMPTRACKPerception TestVisEvent

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-CEUTrack-LargeSuccess Rate65—Unverified
2HR-CEUTrack-BaseSuccess Rate63.2—Unverified
3CEUTrack-LargeSuccess Rate62.8—Unverified
4CEUTrack-BaseSuccess Rate62—Unverified
5SiamR-CNNSuccess Rate60.9—Unverified
6TransTSuccess Rate60.5—Unverified
7SuperDiMPSuccess Rate60.2—Unverified
8TrDiMPSuccess Rate60.1—Unverified
9KeepTrackSuccess Rate59.6—Unverified
10AiATrackSuccess Rate59—Unverified
#ModelMetricClaimedVerifiedStatus
1HR-MonTrack-BaseSuccess Rate68.5—Unverified
2HR-MonTrack-TinySuccess Rate66.3—Unverified
3Multi-modalSuccess Rate63.4—Unverified
4PrDiMPSuccess Rate59—Unverified
5DiMPSuccess Rate57.1—Unverified
6MonTrackSuccess Rate54.9—Unverified
7ATOMSuccess Rate46.5—Unverified
8KYSSuccess Rate26.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OmniTrackHOTA23.45—Unverified
2DeepSORTHOTA21.16—Unverified
3OC-SORTHOTA20.83—Unverified
4ByteTrackHOTA20.66—Unverified
5TrackFormerHOTA19.62—Unverified
6HybridSORTHOTA16.64—Unverified
7DiffMOTHOTA16.4—Unverified
8Bot-SORTHOTA15.77—Unverified
#ModelMetricClaimedVerifiedStatus
1DiMP50Success Rate67.33—Unverified
2PrDiMP50Success Rate67—Unverified
3PrDiMP18Success Rate65.9—Unverified
4DiMP18Success Rate64.6—Unverified
5AtomSuccess Rate63.8—Unverified
#ModelMetricClaimedVerifiedStatus
1finalHumans0.14—Unverified
2night_furyHumans0.05—Unverified
3Yolo based methodHumans0.02—Unverified
4finalHumans0—Unverified
#ModelMetricClaimedVerifiedStatus
1M2-Trackmean precision83.4—Unverified
2BATmean precision75.2—Unverified
#ModelMetricClaimedVerifiedStatus
1UMMT3DMOTA95—Unverified
2MMPTRACK3DMOTA94.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Siam-FCAverage IOU0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1RT-MDNetPrecision Plot0.63—Unverified