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 601–650 of 1966 papers

TitleStatusHype
TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking—0
Benchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments—0
Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation—0
Street Gaussians without 3D Object Tracker—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
HOLa: HoloLens Object LabelingCode0
Distillation of Diffusion Features for Semantic Correspondence—0
GSOT3D: Towards Generic 3D Single Object Tracking in the WildCode0
Object Tracking in a 360^o View: A Novel Perspective on Bridging the Gap to Biomedical Advancements—0
A2VIS: Amodal-Aware Approach to Video Instance Segmentation—0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting—0
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring TasksCode0
MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos—0
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark—0
CrossTracker: Robust Multi-modal 3D Multi-Object Tracking via Cross Correction—0
HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos—0
Visual SLAMMOT Considering Multiple Motion Models—0
A comparison of extended object tracking with multi-modal sensors in indoor environment—0
FastTrackTr:Towards Fast Multi-Object Tracking with Transformers—0
MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking—0
MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking—0
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking—0
ClickTrack: Towards Real-time Interactive Single Object Tracking—0
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion SimilarityCode0
Improved Estimation Accuracy in OFDM-based Joint Communication and Sensing through Kalman Tracking and Interpolation—0
Learning a Neural Association Network for Self-supervised Multi-Object Tracking—0
MOT FCG++: Enhanced Representation of Spatio-temporal Motion and Appearance Features—0
Real-Time AI-Driven People Tracking and Counting Using Overhead Cameras—0
3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter—0
DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios—0
Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs—0
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking—0
BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes—0
Multi-object Tracking by Detection and Query: an efficient end-to-end manner—0
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving—0
SIRA: Scalable Inter-frame Relation and Association for Radar Perception—0
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model—0
Is Multiple Object Tracking a Matter of Specialization?—0
HopTrack: A Real-time Multi-Object Tracking System for Embedded DevicesCode0
Extended Object Tracking and Classification based on Linear Splines—0
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking—0
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack—0
SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects—0
MPT: A Large-scale Multi-Phytoplankton Tracking Benchmark—0
3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous DrivingCode0
The Solution for Single Object Tracking Task of Perception Test Challenge 2024—0
Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines—0
Temporal-Enhanced Multimodal Transformer for Referring Multi-Object Tracking and Segmentation—0
DINTR: Tracking via Diffusion-based Interpolation—0
Motion-guided small MAV detection in complex and non-planar scenes—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