Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
While existing query-based 3D end-to-end visual trackers integrate detection and tracking via the tracking-by-attention paradigm, these two chicken-and-egg tasks encounter optimization difficulties when sharing the same …
3D Multi-Object TrackingContrastive LearningDecoderMulti-Object Tracking+3Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs
In the Detection and Multi-Object Tracking of Sweet Peppers Challenge, we present Track Any Peppers (TAP) - a weakly supervised ensemble technique for sweet peppers tracking. TAP leverages the zero-shot detection capabil…
Multi-Object TrackingObjectobject-detectionObject Detection+1PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking
In this paper, we derive a new Kalman filter with probabilistic data association between measurements and states. We formulate a variational inference problem to approximate the posterior density of the state conditioned…
CPUMulti-Object TrackingObject TrackingVariational InferenceMulti-object Tracking by Detection and Query: an efficient end-to-end manner
Multi-object tracking is advancing through two dominant paradigms: traditional tracking by detection and newly emerging tracking by query. In this work, we fuse them together and propose the tracking-by-detection-and-que…
Multi-Object TrackingObject TrackingGraph-Based Multi-Modal Sensor Fusion for Autonomous Driving
The growing demand for robust scene understanding in mobile robotics and autonomous driving has highlighted the importance of integrating multiple sensing modalities. By combining data from diverse sensors like cameras a…
Autonomous DrivingMulti-Object TrackingObject TrackingScene Understanding+2SIRA: Scalable Inter-frame Relation and Association for Radar Perception
Conventional radar feature extraction faces limitations due to low spatial resolution, noise, multipath reflection, the presence of ghost targets, and motion blur. Such limitations can be exacerbated by nonlinear object …
Multiple Object TrackingObjectobject-detectionObject Detection+4Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery
This paper presents a framework for extracting georeferenced vehicle trajectories from high-altitude drone footage, addressing key challenges in urban traffic monitoring and limitations of traditional ground-based system…
4kgeo-localizationImage RegistrationKeypoint detection and image matching+4ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
Visual object tracking aims to locate a targeted object in a video sequence based on an initial bounding box. Recently, Vision-Language~(VL) trackers have proposed to utilize additional natural language descriptions to e…
Language ModelingLanguage ModellingLarge Language ModelMultimodal Large Language Model+4HopTrack: A Real-time Multi-Object Tracking System for Embedded Devices
Multi-Object Tracking (MOT) poses significant challenges in computer vision. Despite its wide application in robotics, autonomous driving, and smart manufacturing, there is limited literature addressing the specific chal…
Autonomous DrivingGPUMulti-Object TrackingObject Tracking+1Is Multiple Object Tracking a Matter of Specialization?
End-to-end transformer-based trackers have achieved remarkable performance on most human-related datasets. However, training these trackers in heterogeneous scenarios poses significant challenges, including negative inte…
AttributeDomain GeneralizationMultiple Object TrackingObject+3Extended Object Tracking and Classification based on Linear Splines
This paper introduces a framework based on linear splines for 2-dimensional extended object tracking and classification. Unlike state of the art models, linear splines allow to represent extended objects whose contour is…
ObjectObject TrackingIP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking
Multi-Object Tracking (MOT) aims to associate multiple objects across video frames and is a challenging vision task due to inherent complexities in the tracking environment. Most existing approaches train and track withi…
Knowledge DistillationLanguage ModellingMulti-Object TrackingObject Tracking+2Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack
In this study, we delve into the robustness of neural network-based LiDAR point cloud tracking models under adversarial attacks, a critical aspect often overlooked in favor of performance enhancement. These models, despi…
3D Object TrackingAdversarial AttackObject TrackingNT-VOT211: A Large-Scale Benchmark for Night-time Visual Object Tracking
Many current visual object tracking benchmarks such as OTB100, NfS, UAV123, LaSOT, and GOT-10K, predominantly contain day-time scenarios while the challenges posed by the night-time has been less investigated. It is prim…
Object TrackingVideo Object TrackingVisual Object TrackingDepth Attention for Robust RGB Tracking
RGB video object tracking is a fundamental task in computer vision. Its effectiveness can be improved using depth information, particularly for handling motion-blurred target. However, depth information is often missing …
Depth EstimationMonocular Depth EstimationObject TrackingVideo Object TrackingSFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects
This paper addresses the problem of multi-object tracking in Unmanned Aerial Vehicle (UAV) footage. It plays a critical role in various UAV applications, including traffic monitoring systems and real-time suspect trackin…
BenchmarkingMulti-Object TrackingObject TrackingROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting
Vision-language models (VLMs) have excelled in multimodal tasks, but adapting them to embodied decision-making in open-world environments presents challenges. One critical issue is bridging the gap between discrete entit…
Decision MakingMinecraftObject TrackingSemantic Segmentation+1OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking
Open-vocabulary object perception has become an important topic in artificial intelligence, which aims to identify objects with novel classes that have not been seen during training. Under this setting, open-vocabulary o…
Multi-Object TrackingObjectobject-detectionObject Detection+3MPT: A Large-scale Multi-Phytoplankton Tracking Benchmark
Phytoplankton are a crucial component of aquatic ecosystems, and effective monitoring of them can provide valuable insights into ocean environments and ecosystem changes. Traditional phytoplankton monitoring methods are …
Multi-Object TrackingObject TrackingTrackMe:A Simple and Effective Multiple Object Tracking Annotation Tool
Object tracking, especially animal tracking, is one of the key topics that attract a lot of attention due to its benefits of animal behavior understanding and monitoring. Recent state-of-the-art tracking methods are foun…
Multiple Object TrackingObjectobject-detectionObject Detection+1