Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous Driving
The MS-GLMB filter offers a robust framework for tracking multiple objects through the use of multi-sensor data. Building on this, the MV-GLMB and MV-GLMB-AB filters enhance the MS-GLMB capabilities by employing cameras …
3D Multi-Object TrackingAutonomous DrivingMulti-Object TrackingObject+1The Solution for Single Object Tracking Task of Perception Test Challenge 2024
This report presents our method for Single Object Tracking (SOT), which aims to track a specified object throughout a video sequence. We employ the LoRAT method. The essence of the work lies in adapting LoRA, a technique…
Object TrackingVisual TrackingEnhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines
A cognitive function of tracking multiple objects, needed in autonomous mobile vehicles, comprises object detection and their temporal association. While great progress owing to machine learning has been recently seen fo…
Combinatorial OptimizationMultiple Object Trackingobject-detectionObject Detection+1Temporal-Enhanced Multimodal Transformer for Referring Multi-Object Tracking and Segmentation
Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to locate an arbitrary number of target objects and maintain their identities referred by a language expression in a video. This intricate …
Multi-Object TrackingMulti-Object Tracking and SegmentationObject TrackingReferring Multi-Object Tracking+3Motion-guided small MAV detection in complex and non-planar scenes
In recent years, there has been a growing interest in the visual detection of micro aerial vehicles (MAVs) due to its importance in numerous applications. However, the existing methods based on either appearance or motio…
Multi-Object TrackingObject TrackingDINTR: Tracking via Diffusion-based Interpolation
Object tracking is a fundamental task in computer vision, requiring the localization of objects of interest across video frames. Diffusion models have shown remarkable capabilities in visual generation, making them well-…
ObjectObject TrackingUAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs), equipped with cameras, are employed in numerous applications, including aerial photography, surveillance, and agriculture. In these applications, robust object detection and tracking are …
3D Object DetectionObjectobject-detectionObject Detection+2Efficient Multi-Object Tracking on Edge Devices via Reconstruction-Based Channel Pruning
The advancement of multi-object tracking (MOT) technologies presents the dual challenge of maintaining high performance while addressing critical security and privacy concerns. In applications such as pedestrian tracking…
Edge-computingMulti-Object TrackingNetwork PruningObject TrackingVOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking
Open-vocabulary multi-object tracking (OVMOT) represents a critical new challenge involving the detection and tracking of diverse object categories in videos, encompassing both seen categories (base classes) and unseen c…
Multi-Object TrackingObjectobject-detectionObject Detection+4VideoSAM: Open-World Video Segmentation
Video segmentation is essential for advancing robotics and autonomous driving, particularly in open-world settings where continuous perception and object association across video frames are critical. While the Segment An…
Autonomous DrivingDecoderImage SegmentationObject+6Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking
Despite recent progress, Multi-Object Tracking (MOT) continues to face significant challenges, particularly its dependence on prior knowledge and predefined categories, complicating the tracking of unfamiliar objects. Ge…
Multi-Object TrackingMultiple Object TrackingObject TrackingAutomated Retail Billing: Streamlining Checkout with QR Codes and Object Tracking Using YOLOv8 and DeepSORT
In the contemporary retail landscape, long checkout queues and the issuance of expired products present significant challenges to operational efficiency. To address these issues and enhance the billing process, we propos…
Object TrackingSpatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking
Accurate online multiple-camera vehicle tracking is essential for intelligent transportation systems, autonomous driving, and smart city applications. Like single-camera multiple-object tracking, it is commonly formulate…
Autonomous DrivingMulti-Object TrackingMultiple Object TrackingObject TrackingDTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM
Visual language tracking (VLT) has emerged as a cutting-edge research area, harnessing linguistic data to enhance algorithms with multi-modal inputs and broadening the scope of traditional single object tracking (SOT) to…
Object TrackingVideo UnderstandingSpiking Neural Network as Adaptive Event Stream Slicer
Event-based cameras are attracting significant interest as they provide rich edge information, high dynamic range, and high temporal resolution. Many state-of-the-art event-based algorithms rely on splitting the events i…
Object TrackingSamba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
Multiple object tracking in complex scenarios - such as coordinated dance performances, team sports, or dynamic animal groups - presents unique challenges. In these settings, objects frequently move in coordinated patter…
Multiple Object TrackingObject TrackingOpen3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking
3D multi-object tracking plays a critical role in autonomous driving by enabling the real-time monitoring and prediction of multiple objects' movements. Traditional 3D tracking systems are typically constrained by predef…
3D Multi-Object TrackingAutonomous DrivingMulti-Object TrackingObject+1Tracking objects that change in appearance with phase synchrony
Objects we encounter often change appearance as we interact with them. Changes in illumination (shadows), object pose, or the movement of non-rigid objects can drastically alter available image features. How do biologica…
Object TrackingOne Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
We introduce VideoLISA, a video-based multimodal large language model designed to tackle the problem of language-instructed reasoning segmentation in videos. Leveraging the reasoning capabilities and world knowledge of l…
AllImage SegmentationLanguage ModelingLanguage Modelling+11VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking
The informative power of traffic analysis can be enhanced by considering changes in both time and space. Vehicle tracking algorithms applied to drone videos provide a better overview than street-level surveillance camera…
de-enMotion CompensationMulti-Object TrackingObject Tracking