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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 1966 papers

TitleStatusHype
Learning Spatial Distribution of Long-Term Trackers Scores—0
In Defense of Color-Based Model-Free Tracking—0
Correlation Pyramid Network for 3D Single Object Tracking—0
GMMCP Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking—0
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach—0
InfraredTags: Embedding Invisible AR Markers and Barcodes Using Low-Cost, Infrared-Based 3D Printing and Imaging Tools—0
Innovative Texture Database Collecting Approach and Feature Extraction Method based on Combination of Gray Tone Difference Matrixes, Local Binary Patterns,and K-means Clustering—0
Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey—0
Inserting Videos into Videos—0
Instance Flow Based Online Multiple Object Tracking—0
Correlation filter tracking with adaptive proposal selection for accurate scale estimation—0
Instance-Level Video Segmentation From Object Tracks—0
Instance Segmentation with Cross-Modal Consistency—0
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes—0
Instant 3D Object Tracking with Applications in Augmented Reality—0
Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream—0
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy—0
A fast multi-object tracking system using an object detector ensemble—0
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning—0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking—0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
Intelligent driving vehicle front multi-target tracking and detection based on YOLOv5 and point cloud 3D projection—0
Correlation Filters with Limited Boundaries—0
Interaction-Aware Labeled Multi-Bernoulli Filter—0
Interactive Instance Annotation with Siamese Networks—0
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking—0
Learning Policies for Adaptive Tracking with Deep Feature Cascades—0
Interpretable Deep Tracking—0
InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild—0
InterTrack: Interaction Transformer for 3D Multi-Object Tracking—0
Learning The Sequential Temporal Information with Recurrent Neural Networks—0
Globally Optimal Object Tracking with Fully Convolutional Networks—0
Global Correlation Network: End-to-End Joint Multi-Object Detection and Tracking—0
GLAN: A Graph-based Linear Assignment Network—0
CorrBEV: Multi-View 3D Object Detection by Correlation Learning with Multi-modal Prototypes—0
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
Is First Person Vision Challenging for Object Tracking?—0
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps—0
Is Multiple Object Tracking a Matter of Specialization?—0
Isometric Multi-Shape Matching—0
Learning Moving-Object Tracking with FMCW LiDAR—0
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images—0
Coreset-Based Adaptive Tracking—0
Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction—0
Joint 3D Reconstruction of a Static Scene and Moving Objects—0
Generating superpixels using deep image representations—0
Attention-Aware Multi-View Pedestrian Tracking—0
Learning Multi-Object Tracking and Segmentation from Automatic Annotations—0
Aerial multi-object tracking by detection using deep association networks—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