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 601–650 of 1966 papers

TitleStatusHype
MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object TrackingCode2
TrackAgent: 6D Object Tracking via Reinforcement Learning—0
Uncertainty-aware Unsupervised Multi-Object TrackingCode1
The detection and rectification for identity-switch based on unfalsified control—0
360VOT: A New Benchmark Dataset for Omnidirectional Visual Object TrackingCode1
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis—0
Tracking Anything in High QualityCode2
Divert More Attention to Vision-Language Object Tracking—0
In Defense of Clip-based Video Relation Detection—0
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze EstimationCode1
CoTracker: It is Better to Track TogetherCode4
Multi-Object Tracking as Attention Mechanism—0
HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge UnderstandingCode0
Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackersCode2
Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal—0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking—0
EANet: Enhanced Attribute-based RGBT Tracker Network—0
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations—0
STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking—0
Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone—0
MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion—0
On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking—0
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour FieldsCode0
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural RobotsCode1
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in SportsCode1
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation—0
Marking anything: application of point cloud in extracting video target features—0
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory HypothesesCode1
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time—0
SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-DepthCode1
Tracking Objects with 3D Representation from Videos—0
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
Cross-Drone Transformer Network for Robust Single Object TrackingCode1
MotionTrack: Learning Motion Predictor for Multiple Object Tracking—0
Heteroskedastic Geospatial Tracking with Distributed Camera Networks—0
Dictionary Learning under Symmetries via Group Representations—0
Z-GMOT: Zero-shot Generic Multiple Object Tracking—0
Linear Object Detection in Document Images using Multiple Object Tracking—0
Frame-Event Alignment and Fusion Network for High Frame Rate TrackingCode1
Perception Test: A Diagnostic Benchmark for Multimodal Video ModelsCode2
MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking—0
Type-to-Track: Retrieve Any Object via Prompt-based Tracking—0
UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything ModelCode1
Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object TrackingCode1
SAM for Poultry Science—0
Object Re-Identification from Point Clouds—0
S^3Track: Self-supervised Tracking with Soft Assignment Flow—0
SCTracker: Multi-object tracking with shape and confidence constraints—0
Correlation Pyramid Network for 3D Single Object Tracking—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