Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking
Online multi-object tracking has been recently dominated by tracking-by-detection (TbD) methods, where recent advances rely on increasingly sophisticated heuristics for tracklet representation, feature fusion, and multi-…
Multi-Object TrackingObject TrackingOnline Multi-Object TrackingOptimizing Indoor Farm Monitoring Efficiency Using UAV: Yield Estimation in a GNSS-Denied Cherry Tomato Greenhouse
As the agricultural workforce declines and labor costs rise, robotic yield estimation has become increasingly important. While unmanned ground vehicles (UGVs) are commonly used for indoor farm monitoring, their deploymen…
3D Multi-Object TrackingMulti-Object TrackingObject TrackingA Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic
Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for traffic monitoring, management, and optimization as the number of network cameras continues to rise. However, manual object track…
object-detectionObject DetectionObject TrackingTransfer LearningLLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics
We present an embodied robotic system with an LLM-driven agent-orchestration architecture for autonomous household object management. The system integrates memory-augmented task planning, enabling robots to execute high-…
In-Context LearningObjectobject-detectionObject Detection+5Stereo X-ray tomography on deformed object tracking
X-ray computed tomography is a powerful tool for volumetric imaging, but requires the collection of a large number of low-noise projection images, which is often too time consuming, limiting its applicability. In our pre…
ObjectObject TrackingPositionMoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection
The recent Segment Anything Model 2 (SAM2) has demonstrated exceptional capabilities in interactive object segmentation for both images and videos. However, as a foundational model on interactive segmentation, SAM2 perfo…
Instance SegmentationInteractive SegmentationObjectObject Tracking+5Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction
Successful video analysis relies on accurate recognition of pixels across frames, and frame reconstruction methods based on video correspondence learning are popular due to their efficiency. Existing frame reconstruction…
Decision MakingObjectObject TrackingSemantic Segmentation+1The Mean of Multi-Object Trajectories
This paper introduces the concept of a mean for trajectories and multi-object trajectories--sets or multi-sets of trajectories--along with algorithms for computing them. Specifically, we use the Fr\'{e}chet mean, and met…
Multi-Object TrackingObjectObject TrackingImproving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters
Drone-based crowd monitoring is the key technology for applications in surveillance, public safety, and event management. However, maintaining tracking continuity and consistency remains a significant challenge. Traditio…
Computational EfficiencyMotion CompensationObject TrackingMulti-Sensor Fusion of Active and Passive Measurements for Extended Object Tracking
This paper addresses the challenge of achieving robust and reliable positioning of a radio device carried by an agent, in scenarios where direct line-of-sight (LOS) radio links are obstructed by the agent. We propose a B…
ObjectObject TrackingSensor FusionPerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models
We introduce PerfCam, an open source Proof-of-Concept (PoC) digital twinning framework that combines camera and sensory data with 3D Gaussian Splatting and computer vision models for digital twinning, object tracking, an…
3D ReconstructionObject TrackingSonarT165: A Large-scale Benchmark and STFTrack Framework for Acoustic Object Tracking
Underwater observation systems typically integrate optical cameras and imaging sonar systems. When underwater visibility is insufficient, only sonar systems can provide stable data, which necessitates exploration of the …
Image EnhancementObject TrackingAdversarial Attack for RGB-Event based Visual Object Tracking
Visual object tracking is a crucial research topic in the fields of computer vision and multi-modal fusion. Among various approaches, robust visual tracking that combines RGB frames with Event streams has attracted incre…
Adversarial AttackObject TrackingVisual Object TrackingVisual TrackingSelf-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
The significant achievements of pre-trained models leveraging large volumes of data in the field of NLP and 2D vision inspire us to explore the potential of extensive data pre-training for 3D perception in autonomous dri…
3D Object Detection3D Object TrackingAutonomous DrivingBEV Segmentation+4Robust Visual Servoing under Human Supervision for Assembly Tasks
We propose a framework enabling mobile manipulators to reliably complete pick-and-place tasks for assembling structures from construction blocks. The picking uses an eye-in-hand visual servoing controller for object trac…
Object TrackingWildLive: Near Real-time Visual Wildlife Tracking onboard UAVs
Live tracking of wildlife via high-resolution video processing directly onboard drones is widely unexplored and most existing solutions rely on streaming video to ground stations to support navigation. Yet, both autonomo…
4kObject TrackingOptical Flow EstimationIntelligent driving vehicle front multi-target tracking and detection based on YOLOv5 and point cloud 3D projection
In multi-target tracking and detection tasks, it is necessary to continuously track multiple targets, such as vehicles, pedestrians, etc. To achieve this goal, the system must be able to continuously acquire and process …
Multi-Object TrackingObject TrackingPositionGLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation
This paper proposes a novel framework utilizing multi-modal large language models (MLLMs) for referring video object segmentation (RefVOS). Previous MLLM-based methods commonly struggle with the dilemma between "Ref" and…
Contrastive LearningLanguage ModelingLanguage ModellingLarge Language Model+6Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks
This paper deals with the multi-object detection and tracking problem, within the scope of open Radio Access Network (RAN), for collision avoidance in vehicular scenarios. To this end, a set of distributed intelligent ag…
Collision AvoidanceMulti-Object Trackingobject-detectionObject Detection+1VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Recent advancements in reinforcement learning have significantly advanced the reasoning capabilities of multimodal large language models (MLLMs). While approaches such as Group Relative Policy Optimization (GRPO) and rul…
MVBenchObject TrackingVideo Understanding