Papers Multi-Object Tracking
“Multi-Object Tracking” 태그가 달린 논문 812편 · 필터 해제
iKUN: Speak to Trackers without Retraining
Referring multi-object tracking (RMOT) aims to track multiple objects based on input textual descriptions. Previous works realize it by simply integrating an extra textual module into the multi-object tracker. However, t…
Multi-Object TrackingObject TrackingReferring Multi-Object TrackingTransformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing
Multi-object tracking (MOT) is the task of estimating the state trajectories of an unknown and time-varying number of objects over a certain time window. Several algorithms have been proposed to tackle the multi-object s…
Multi-Object TrackingObjectObject TrackingTransformer Network for Multi-Person Tracking and Re-Identification in Unconstrained Environment
Multi-object tracking (MOT) has profound applications in a variety of fields, including surveillance, sports analytics, self-driving, and cooperative robotics. Despite considerable advancements, existing MOT methodologie…
DecoderMulti-Object TrackingObjectobject-detection+3General Object Foundation Model for Images and Videos at Scale
We present GLEE in this work, an object-level foundation model for locating and identifying objects in images and videos. Through a unified framework, GLEE accomplishes detection, segmentation, tracking, grounding, and i…
Instance SegmentationLong-tail Video Object SegmentationMulti-Object TrackingObject+8UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
Multi-object tracking (MOT) in video sequences remains a challenging task, especially in scenarios with significant camera movements. This is because targets can drift considerably on the image plane, leading to erroneou…
Motion CompensationMulti-Object TrackingMultiple Object TrackingObject+1Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
The global multi-object tracking (MOT) system can consider interaction, occlusion, and other ``visual blur'' scenarios to ensure effective object tracking in long videos. Among them, graph-based tracking-by-detection par…
Multi-Object TrackingMultiple Object TrackingObjectObject TrackingCholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery
Tool tracking in surgical videos is vital in computer-assisted intervention for tasks like surgeon skill assessment, safety zone estimation, and human-machine collaboration during minimally invasive procedures. The lack …
Intracorporeal TrackingIntraoperative TrackingMulti-Object TrackingObject Detection+2Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation
In this paper, we propose a latent-variable generative model called mixture of dynamical variational autoencoders (MixDVAE) to model the dynamics of a system composed of multiple moving sources. A DVAE model is pre-train…
Audio Source SeparationMulti-Object TrackingObject TrackingTrajectory ModelingMarkov Chain Monte Carlo Multi-Scan Data Association for Sets of Trajectories
This paper considers a batch solution to the multi-object tracking problem based on sets of trajectories. Specifically, we present two offline implementations of the trajectory Poisson multi-Bernoulli mixture (TPMBM) fil…
Multi-Object TrackingObject TrackingAdaptive Confidence Threshold for ByteTrack in Multi-Object Tracking
We investigate the application of ByteTrack in the realm of multiple object tracking. ByteTrack, a simple tracking algorithm, enables the simultaneous tracking of multiple objects by strategically incorporating detection…
Multi-Object TrackingMultiple Object TrackingObjectObject TrackingTrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models
Despite remarkable achievements in video synthesis, achieving granular control over complex dynamics, such as nuanced movement among multiple interacting objects, still presents a significant hurdle for dynamic world mod…
Image ClassificationMulti-Object TrackingObjectobject-detection+3Zero-Shot Video Question Answering with Procedural Programs
We propose to answer zero-shot questions about videos by generating short procedural programs that derive a final answer from solving a sequence of visual subtasks. We present Procedural Video Querying (ProViQ), which us…
Code GenerationLanguage ModelingLanguage ModellingLarge Language Model+8TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
Multi-object tracking in traffic videos is a crucial research area, offering immense potential for enhancing traffic monitoring accuracy and promoting road safety measures through the utilisation of advanced machine lear…
Multi-Object TrackingObjectObject TrackingMultiple Toddler Tracking in Indoor Videos
Multiple toddler tracking (MTT) involves identifying and differentiating toddlers in video footage. While conventional multi-object tracking (MOT) algorithms are adept at tracking diverse objects, toddlers pose unique ch…
Multi-Object TrackingMultiple Object TrackingObject TrackingSingle-Shot and Multi-Shot Feature Learning for Multi-Object Tracking
Multi-Object Tracking (MOT) remains a vital component of intelligent video analysis, which aims to locate targets and maintain a consistent identity for each target throughout a video sequence. Existing works usually lea…
Multi-Object TrackingObject TrackingContrastive Learning for Multi-Object Tracking with Transformers
The DEtection TRansformer (DETR) opened new possibilities for object detection by modeling it as a translation task: converting image features into object-level representations. Previous works typically add expensive mod…
Contrastive LearningMulti-Object TrackingMultiple Object TrackingObject+3ReIDTracker Sea: the technical report of BoaTrack and SeaDronesSee-MOT challenge at MaCVi of WACV24
Multi-Object Tracking is one of the most important technologies in maritime computer vision. Our solution tries to explore Multi-Object Tracking in maritime Unmanned Aerial vehicles (UAVs) and Unmanned Surface Vehicles (…
Multi-Object TrackingObjectObject TrackingRepresentation LearningSea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking
Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision has been challenging for several reasons. More specifically, short-term re-identification (ReID) is difficult due to the nature…
DiversityMulti-Object TrackingObject TrackingISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification
Most object-level mapping systems in use today make use of an upstream learned object instance segmentation model. If we want to teach them about a new object or segmentation class, we need to build a large dataset and r…
Instance SegmentationMulti-Object TrackingObjectobject-detection+6An Approach for Multi-Object Tracking with Two-Stage Min-Cost Flow
The minimum network flow algorithm is widely used in multi-target tracking. However, the majority of the present methods concentrate exclusively on minimizing cost functions whose values may not indicate accurate solutio…
Multi-Object TrackingObject Tracking