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

Showing 19011950 of 1966 papers

TitleStatusHype
In Defense of Color-Based Model-Free Tracking0
GMMCP Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking0
MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking0
Clustering of Static-Adaptive Correspondences for Deformable Object Tracking0
Shape-Tailored Local Descriptors and Their Application to Segmentation and Tracking0
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters0
Target Identity-Aware Network Flow for Online Multiple Target Tracking0
Object Modelling with a Handheld RGB-D Camera0
Online Adaptive Hidden Markov Model for Multi-Tracker Fusion0
siftservice.com - Turning a Computer Vision algorithm into a World Wide Web Service0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
Discriminative and Efficient Label Propagation on Complementary Graphs for Multi-Object Tracking0
Fast keypoint detection in video sequences0
Visual object tracking performance measures revisited0
An equalised global graphical model-based approach for multi-camera object trackingCode0
Transferring Rich Feature Hierarchies for Robust Visual Tracking0
Adaptive Objectness for Object Tracking0
Metric Learning Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking0
Simple Two-Dimensional Object Tracking based on a Graph Algorithm0
Multiple object tracking with context awareness0
Shape and Color Object Tracking for Real-Time Robotic Navigation0
A unified approach for multi-object triangulation, tracking and camera calibration0
Audio Surveillance: a Systematic Review0
Multiple Object Tracking: A Literature Review0
Concurrent Tracking of Inliers and Outliers0
On Pairwise Costs for Network Flow Multi-Object Tracking0
Bags of Affine Subspaces for Robust Object Tracking0
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos0
Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning0
Occlusion Geodesics for Online Multi-Object Tracking0
Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations0
Multi-Forest Tracker: A Chameleon in Tracking0
Multi-Object Tracking via Constrained Sequential Labeling0
Bi-label Propagation for Generic Multiple Object Tracking0
The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems0
Real Time Object Tracking Based on Inter-frame Coding: A Review0
Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather0
Automatic Tracker Selection w.r.t Object Detection Performance0
Correlation Filters with Limited Boundaries0
Parallel WiSARD object tracker: a ram-based tracking system0
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach0
Exemplar-based Linear Discriminant Analysis for Robust Object Tracking0
Real-time Pedestrian Surveillance with Top View Cumulative Grids0
Incremental discriminative color object tracking0
Tracking Deformable Parts via Dynamic Conditional Random Fields0
Multiple-object tracking in cluttered and crowded public spaces0
Photon counting compressive depth mapping0
Self-Paced Learning for Long-Term Tracking0
Structure Preserving Object Tracking0
Online Object Tracking: A Benchmark0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-CEUTrack-LargeSuccess Rate65Unverified
2HR-CEUTrack-BaseSuccess Rate63.2Unverified
3CEUTrack-LargeSuccess Rate62.8Unverified
4CEUTrack-BaseSuccess Rate62Unverified
5SiamR-CNNSuccess Rate60.9Unverified
6TransTSuccess Rate60.5Unverified
7SuperDiMPSuccess Rate60.2Unverified
8TrDiMPSuccess Rate60.1Unverified
9KeepTrackSuccess Rate59.6Unverified
10AiATrackSuccess Rate59Unverified
#ModelMetricClaimedVerifiedStatus
1HR-MonTrack-BaseSuccess Rate68.5Unverified
2HR-MonTrack-TinySuccess Rate66.3Unverified
3Multi-modalSuccess Rate63.4Unverified
4PrDiMPSuccess Rate59Unverified
5DiMPSuccess Rate57.1Unverified
6MonTrackSuccess Rate54.9Unverified
7ATOMSuccess Rate46.5Unverified
8KYSSuccess Rate26.6Unverified
#ModelMetricClaimedVerifiedStatus
1OmniTrackHOTA23.45Unverified
2DeepSORTHOTA21.16Unverified
3OC-SORTHOTA20.83Unverified
4ByteTrackHOTA20.66Unverified
5TrackFormerHOTA19.62Unverified
6HybridSORTHOTA16.64Unverified
7DiffMOTHOTA16.4Unverified
8Bot-SORTHOTA15.77Unverified
#ModelMetricClaimedVerifiedStatus
1DiMP50Success Rate67.33Unverified
2PrDiMP50Success Rate67Unverified
3PrDiMP18Success Rate65.9Unverified
4DiMP18Success Rate64.6Unverified
5AtomSuccess Rate63.8Unverified
#ModelMetricClaimedVerifiedStatus
1finalHumans0.14Unverified
2night_furyHumans0.05Unverified
3Yolo based methodHumans0.02Unverified
4finalHumans0Unverified
#ModelMetricClaimedVerifiedStatus
1M2-Trackmean precision83.4Unverified
2BATmean precision75.2Unverified
#ModelMetricClaimedVerifiedStatus
1UMMT3DMOTA95Unverified
2MMPTRACK3DMOTA94.8Unverified
#ModelMetricClaimedVerifiedStatus
1Siam-FCAverage IOU0.66Unverified
#ModelMetricClaimedVerifiedStatus
1RT-MDNetPrecision Plot0.63Unverified