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 1676–1700 of 1966 papers

TitleStatusHype
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking—0
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual TrackingCode0
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection—0
High Performance Visual Tracking With Siamese Region Proposal NetworkCode0
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning—0
Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering—0
MobiFace: A Novel Dataset for Mobile Face Tracking in the WildCode0
Particle Filter Networks with Application to Visual LocalizationCode0
RGB-T Object Tracking:Benchmark and Baseline—0
Measurement-wise Occlusion in Multi-object Tracking—0
A Continuous, Full-scope, Spatio-temporal Tracking Metric based on KL-divergence—0
Object Tracking with Correlation Filters using Selective Single Background Patch—0
Visual Object Tracking: The Initialisation ProblemCode0
MV-YOLO: Motion Vector-aided Tracking by Semantic Object Detection—0
Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker—0
Vision Meets Drones: A Challenge—0
Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking—0
Unveiling the Power of Deep Tracking—0
State-Space Abstractions for Probabilistic Inference: A Systematic Review—0
A Novel Low-cost FPGA-based Real-time Object Tracking System—0
Head Mounted Pupil Tracking Using Convolutional Neural Network—0
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking—0
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval—0
Learning a Robust Society of Tracking Parts using Co-occurrence Constraints—0
Evaluation of Object Trackers in Distorted Surveillance Videos—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