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 1151–1200 of 1966 papers

TitleStatusHype
Discussion among Different Methods of Updating Model Filter in Object Tracking—0
Distillation of Diffusion Features for Semantic Correspondence—0
Distractor-aware Event-based Tracking—0
Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks—0
Distributed Extended Object Tracking Information Filter Over Sensor Networks—0
Distributed Extended Object Tracking Using Coupled Velocity Model from WLS Perspective—0
Distributed Variational Bayesian Algorithms for Extended Object Tracking—0
Divert More Attention to Vision-Language Tracking—0
Divert More Attention to Vision-Language Object Tracking—0
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization—0
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval—0
Does Video Compression Impact Tracking Accuracy?—0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild—0
DOT: Dynamic Object Tracking for Visual SLAM—0
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection—0
DropTrack -- automatic droplet tracking using deep learning for microfluidic applications—0
DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking—0
DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM—0
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM—0
Dual approach for object tracking based on optical flow and swarm intelligence—0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
Dynamic Resource-aware Corner Detection for Bio-inspired Vision Sensors—0
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking—0
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM—0
EANet: Enhanced Attribute-based RGBT Tracker Network—0
Easy-Poly: A Easy Polyhedral Framework For 3D Multi-Object Tracking—0
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking—0
Effective Object Tracking in Unstructured Crowd Scenes—0
Efficient Adversarial Attacks for Visual Object Tracking—0
Efficient and Consistent Adversarial Bipartite Matching—0
Efficient Convolutional Neural Network Training with Direct Feedback Alignment—0
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking—0
Efficient data-driven encoding of scene motion using Eccentricity—0
Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking—0
Efficient Joint Detection and Multiple Object Tracking with Spatially Aware Transformer—0
Efficiently Tracking Homogeneous Regions in Multichannel Images—0
Efficient Multi-Object Tracking on Edge Devices via Reconstruction-Based Channel Pruning—0
Efficient Image Denoising by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix—0
Efficient resource management in UAVs for Visual Assistance—0
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report—0
Efficient Bird Eye View Proposals for 3D Siamese Tracking—0
Efficient Training for Visual Tracking with Deformable Transformer—0
Efficient universal shuffle attack for visual object tracking—0
Egocentric Height Estimation—0
Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking—0
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking—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