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 1451–1500 of 1966 papers

TitleStatusHype
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval—0
MOT20: A benchmark for multi object tracking in crowded scenes—0
Applying r-spatiogram in object tracking for occlusion handling—0
DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother MachineCode0
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking—0
Refinements in Motion and Appearance for Online Multi-Object Tracking—0
Training-Set Distillation for Real-Time UAV Object TrackingCode0
Keyfilter-Aware Real-Time UAV Object TrackingCode0
Tracking Road Users using Constraint Programming—0
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles—0
Multi-object Tracking via End-to-end Tracklet Searching and Ranking—0
Argus: Efficient Activity Detection System for Extended Video Analysis—0
Evaluating Temporal Queries Over Video Feeds—0
PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds—0
Generalized Bayesian Filtering via Sequential Monte Carlo—0
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking—0
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking—0
Extended Target Tracking and Classification Using Neural Networks—0
Input Dropout for Spatially Aligned ModalitiesCode0
Combining 3D Model Contour Energy and Keypoints for Object Tracking—0
Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts—0
Multiple Object Tracking by Flowing and Fusing—0
ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects—0
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking—0
A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling—0
Improving End-to-End Object Tracking Using Relational Reasoning—0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
Rethinking Convolutional Features in Correlation Filter Based Tracking—0
Active Learning in Video Tracking—0
Extending Multi-Object Tracking systems to better exploit appearance and 3D information—0
Rethinking Temporal Object Detection from Robotic Perspectives—0
An RSSI-based Wireless Sensor Node Localisation using Trilateration and Multilateration Methods for Outdoor Environment—0
Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques—0
Occlusion-Robust Online Multi-Object Visual Tracking using a GM-PHD Filter with CNN-Based Re-Identification—0
Kernel learning for visual perceptionCode0
An Accelerated Correlation Filter Tracker—0
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese TrackersCode0
Learning Multi-Object Tracking and Segmentation from Automatic Annotations—0
Improving Model Drift for Robust Object Tracking—0
SPSTracker: Sub-Peak Suppression of Response Map for Robust Object TrackingCode0
muSSP: Efficient Min-cost Flow Algorithm for Multi-object TrackingCode0
Siam R-CNN: Visual Tracking by Re-DetectionCode0
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps—0
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning—0
Computer Vision-based Accident Detection in Traffic Surveillance—0
Exploiting Spatial Invariance for Scalable Unsupervised Object TrackingCode0
D3S -- A Discriminative Single Shot Segmentation TrackerCode0
A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking—0
Improving Human Annotation in Single Object Tracking—0
Show:102550
← PrevPage 30 of 40Next →
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