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 326–350 of 1966 papers

TitleStatusHype
SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving—0
Bootstrapping Referring Multi-Object TrackingCode1
Multi-Granularity Language-Guided Multi-Object TrackingCode1
Matching Anything by Segmenting AnythingCode5
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints—0
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking—0
Reproducibility Study on Adversarial Attacks Against Robust Transformer TrackersCode0
Multi-Object Tracking based on Imaging Radar 3D Object Detection—0
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers—0
Prototypical Transformer as Unified Motion Learners—0
Towards Generalizable Multi-Object TrackingCode1
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark—0
DGD: Dynamic 3D Gaussians Distillation—0
Track Initialization and Re-Identification for~3D Multi-View Multi-Object TrackingCode1
XTrack: Multimodal Training Boosts RGB-X Video Object TrackersCode2
Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based FusionCode0
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos—0
Tracking Small Birds by Detection Candidate Region Filtering and Detection History-aware Association—0
An Approximate Dynamic Programming Framework for Occlusion-Robust Multi-Object Tracking—0
ETTrack: Enhanced Temporal Motion Predictor for Multi-Object Tracking—0
Trackastra: Transformer-based cell tracking for live-cell microscopyCode4
PuTR: A Pure Transformer for Decoupled and Online Multi-Object TrackingCode1
Awesome Multi-modal Object TrackingCode5
Enhanced Object Tracking by Self-Supervised Auxiliary Depth Estimation Learning—0
Multi Player Tracking in Ice Hockey with Homographic Projections—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