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 18511900 of 1966 papers

TitleStatusHype
Multi-View People Tracking via Hierarchical Trajectory Composition0
Online Multi-Object Tracking via Structural Constraint Event Aggregation0
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map0
The Solution Path Algorithm for Identity-Aware Multi-Object Tracking0
Instance-Level Video Segmentation From Object Tracks0
Multi-Object Tracking and Identification over Sets0
Virtual Worlds as Proxy for Multi-Object Tracking Analysis0
Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association0
All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles0
Once for All: a Two-flow Convolutional Neural Network for Visual Tracking0
Object Detection from Video Tubelets with Convolutional Neural NetworksCode0
RGBD Datasets: Past, Present and Future0
Robust video object tracking via Bayesian model averaging based feature fusion0
Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes0
Multi-modal Tracking for Object based SLAM0
Extended Object Tracking: Introduction, Overview and Applications0
Temporally Robust Global Motion Compensation by Keypoint-based Congealing0
MOT16: A Benchmark for Multi-Object TrackingCode1
Depth-Based Object Tracking Using a Robust Gaussian FilterCode0
Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval0
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural NetworksCode0
Fast Integral Image Estimation at 1% measurement rate0
Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey0
Learning to Track: Online Multi-Object Tracking by Decision Making0
Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations0
Local Subspace Collaborative Tracking0
Exploring Causal Relationships in Visual Object Tracking0
Visual Tracking With Fully Convolutional Networks0
Multiple Feature Fusion via Weighted Entropy for Visual Tracking0
Hierarchical Convolutional Features for Visual Tracking0
Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking0
Video Tracking Using Learned Hierarchical Features0
Coreset-Based Adaptive Tracking0
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks0
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking0
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation0
RATM: Recurrent Attentive Tracking Model0
Visual Tracking via Nonnegative Regularization Multiple Locality Coding0
Effective Object Tracking in Unstructured Crowd Scenes0
Online Object Tracking with Proposal Selection0
Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking0
Robust video object tracking using particle filter with likelihood based feature fusion and adaptive template updating0
Online Object Tracking, Learning and Parsing with And-Or GraphsCode0
Robust Object Tracking with a Hierarchical Ensemble Framework0
An Experimental Survey on Correlation Filter-based Tracking0
An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes0
Iterative hypothesis testing for multi-object tracking in presence of features with variable reliability0
Online Domain Adaptation for Multi-Object Tracking0
Online Metric-Weighted Linear Representations for Robust Visual Tracking0
Automatic tracking of protein vesicles0
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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