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 151–200 of 1966 papers

TitleStatusHype
GSOT3D: Towards Generic 3D Single Object Tracking in the WildCode0
Referring Video Object Segmentation via Language-aligned Track SelectionCode1
A2VIS: Amodal-Aware Approach to Video Instance Segmentation—0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting—0
Object Tracking in a 360^o View: A Novel Perspective on Bridging the Gap to Biomedical Advancements—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
A Distractor-Aware Memory for Visual Object Tracking with SAM2Code3
MambaTrack: Exploiting Dual-Enhancement for Night UAV TrackingCode0
FastTrackTr:Towards Fast Multi-Object Tracking with Transformers—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
Teaching VLMs to Localize Specific Objects from In-context ExamplesCode1
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
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware MemoryCode9
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
GTA: Global Tracklet Association for Multi-Object Tracking in SportsCode2
BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes—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
PKF: Probabilistic Data Association Kalman Filter for Multi-Object TrackingCode1
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
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imageryCode1
HopTrack: A Real-time Multi-Object Tracking System for Embedded DevicesCode0
Is Multiple Object Tracking a Matter of Specialization?—0
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
Depth Attention for Robust RGB TrackingCode1
NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object TrackingCode1
SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects—0
OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object TrackingCode1
ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context PromptingCode1
MPT: A Large-scale Multi-Phytoplankton Tracking Benchmark—0
TrackMe:A Simple and Effective Multiple Object Tracking Annotation ToolCode1
The Solution for Single Object Tracking Task of Perception Test Challenge 2024—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