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 1001–1050 of 1966 papers

TitleStatusHype
A Survey for Deep RGBT Tracking—0
Visual Object Tracking on Multi-modal RGB-D Videos: A Review—0
Temporal Aggregation for Adaptive RGBT TrackingCode1
Exploring Fusion Strategies for Accurate RGBT Visual Object TrackingCode1
Learning Pixel Trajectories with Multiscale Contrastive Random Walks—0
CAST: Character labeling in Animation using Self-supervision by TrackingCode1
Semi-automatic 3D Object Keypoint Annotation and Detection for the MassesCode1
STURE: Spatial-Temporal Mutual Representation Learning for Robust Data Association in Online Multi-Object Tracking—0
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection—0
Pedestrian Detection: Domain Generalization, CNNs, Transformers and BeyondCode2
Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response DronesCode1
GLAN: A Graph-based Linear Assignment Network—0
Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation—0
maskGRU: Tracking Small Objects in the Presence of Large Background Motions—0
Language as Queries for Referring Video Object SegmentationCode2
Multi-Object Tracking Meets Moving UAV—0
Opening Up Open World Tracking—0
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose TrackingCode1
Spiking Transformers for Event-Based Single Object Tracking—0
PatchTrack: Multiple Object Tracking Using Frame Patches—0
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences—0
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking—0
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation—0
Efficient Visual Tracking with Exemplar TransformersCode0
Homography Decomposition Networks for Planar Object TrackingCode1
Reliable Multi-Object Tracking in the Presence of Unreliable DetectionsCode1
On the Dilution of Precision for Time Difference of Arrival with Station Deployment—0
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings—0
Contextualized Spatio-Temporal Contrastive Learning with Self-SupervisionCode0
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook—0
PTTR: Relational 3D Point Cloud Object Tracking with TransformerCode1
Learning Tracking Representations via Dual-Branch Fully Transformer NetworksCode1
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark—0
Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems—0
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse MotionCode1
Implicit Equivariance in Convolutional NetworksCode0
Immortal Tracker: Tracklet Never DiesCode1
CDNet is all you need: Cascade DCN based underwater object detection RCNNCode1
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A BenchmarkCode1
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the WildCode1
Track Boosting and Synthetic Data Aided Drone Detection—0
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking—0
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking—0
Tracking Grow-Finish Pigs Across Large Pens Using Multiple CamerasCode1
SimpleTrack: Understanding and Rethinking 3D Multi-object TrackingCode1
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data—0
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking TrackersCode1
Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking—0
Unsupervised Lightweight Single Object Tracking with UHP-SOT++—0
New Performance Measures for Object Tracking under Complex Environments—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