Papers Moving Object Detection
“Moving Object Detection” 태그가 달린 논문 75편 · 필터 해제
CAMotion: A High-Quality Benchmark for Camouflaged Moving Object Detection in the Wild
Discovering camouflaged objects is a challenging task in computer vision due to the high similarity between camouflaged objects and their surroundings. While the problem of camouflaged object detection over sequential vi…
Moving Object DetectionEnergy-Efficient Fast Object Detection on Edge Devices for IoT Systems
This paper presents an Internet of Things (IoT) application that utilizes an AI classifier for fast-object detection using the frame difference method. This method, with its shorter duration, is the most efficient and su…
Computational EfficiencyMoving Object DetectionRobust Ship Detection and Tracking Using Modified ViBe and Backwash Cancellation Algorithm
In this paper, we propose a robust real time detection and tracking method for detecting ships in a coastal video sequences. Since coastal scenarios are unpredictable and scenes have dynamic properties it is essential to…
Moving Object DetectionMoving object detection from multi-depth images with an attention-enhanced CNN
One of the greatest challenges for detecting moving objects in the solar system from wide-field survey data is determining whether a signal indicates a true object or is due to some other source, like noise. Object verif…
Moving Object DetectionMoving Object Detection from Moving Camera Using Focus of Expansion Likelihood and Segmentation
Separating moving and static objects from a moving camera viewpoint is essential for 3D reconstruction, autonomous navigation, and scene understanding in robotics. Existing approaches often rely primarily on optical flow…
Moving Object DetectionScene Understanding3D ReconstructionMTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
Mobile robots are reaching unprecedented speeds, with platforms like Unitree B2, and Fraunhofer O3dyn achieving maximum speeds between 5 and 10 m/s. However, effectively utilizing such speeds remains a challenge due to t…
6D Pose EstimationEvent-based visionMoving Object Detectionobject-detection+2Iterative Event-based Motion Segmentation by Variational Contrast Maximization
Event cameras provide rich signals that are suitable for motion estimation since they respond to changes in the scene. As any visual changes in the scene produce event data, it is paramount to classify the data into diff…
Motion EstimationMotion SegmentationMoving Object Detectionobject-detection+2DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensing
Moving object detection (MOD) in remote sensing is significantly challenged by low resolution, extremely small object sizes, and complex noise interference. Current deep learning-based MOD methods rely on probability den…
DenoisingDensity EstimationMoving Object DetectionObject+2SSF-PAN: Semantic Scene Flow-Based Perception for Autonomous Navigation in Traffic Scenarios
Vehicle detection and localization in complex traffic scenarios pose significant challenges due to the interference of moving objects. Traditional methods often rely on outlier exclusions or semantic segmentations, which…
Autonomous NavigationComputational EfficiencyMoving Object Detectionobject-detection+3MONA: Moving Object Detection from Videos Shot by Dynamic Camera
Dynamic urban environments, characterized by moving cameras and objects, pose significant challenges for camera trajectory estimation by complicating the distinction between camera-induced and object motion. We introduce…
Moving Object DetectionObjectobject-detectionObject Detection+3On Moving Object Segmentation from Monocular Video with Transformers
Moving object detection and segmentation from a single moving camera is a challenging task, requiring an understanding of recognition, motion and 3D geometry. Combining both recognition and reconstruction boils down to a…
3D geometryMotion SegmentationMoving Object Detectionobject-detection+3Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos
Moving object detection in satellite videos (SVMOD) is a challenging task due to the extremely dim and small target characteristics. Current learning-based methods extract spatio-temporal information from multi-frame den…
Moving Object Detectionobject-detectionObject DetectionAdaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments
Unmanned Aerial Vehicles (UAVs) play an increasingly critical role in Intelligence, Surveillance, and Reconnaissance (ISR) missions such as border patrolling and criminal detection, thanks to their ability to access remo…
Deep Reinforcement LearningMoving Object Detectionobject-detectionObject Detection+1FADE: A Dataset for Detecting Falling Objects around Buildings in Video
Falling objects from buildings can cause severe injuries to pedestrians due to the great impact force they exert. Although surveillance cameras are installed around some buildings, it is challenging for humans to capture…
Moving Object DetectionObjectobject-detectionObject Detection+1Detection of Fast-Moving Objects with Neuromorphic Hardware
Neuromorphic Computing (NC) and Spiking Neural Networks (SNNs) in particular are often viewed as the next generation of Neural Networks (NNs). NC is a novel bio-inspired paradigm for energy efficient neural computation, …
GPUMoving Object Detectionobject-detectionObject DetectionJSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection
Event-based moving object detection is a challenging task, where static background and moving object are mixed together. Typically, existing methods mainly align the background events to the same spatial coordinate syste…
Motion CompensationMoving Object DetectionObjectobject-detection+2Detecting Moving Objects Using a Novel Optical-Flow-Based Range-Independent Invariant
This paper focuses on a novel approach for detecting moving objects during camera motion. We present an optical-flow-based transformation that yields a consistent 2D invariant image output regardless of time instants, ra…
Moving Object Detectionobject-detectionObject DetectionOptical Flow EstimationDense Random Texture Detection using Beta Distribution Statistics
This note describes a method for detecting dense random texture using fully connected points sampled on image edges. An edge image is randomly sampled with points, the standard L2 distance is calculated between all conne…
Moving Object Detectionobject-detectionObject DetectionUnityRaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud
Mobile autonomy relies on the precise perception of dynamic environments. Robustly tracking moving objects in 3D world thus plays a pivotal role for applications like trajectory prediction, obstacle avoidance, and path p…
Motion EstimationMotion SegmentationMoving Object DetectionMultiple Object Tracking+4Human Motion Detection Based on Dual-Graph and Weighted Nuclear Norm Regularizations
Motion detection has been widely used in many applications, such as surveillance and robotics. Due to the presence of the static background, a motion video can be decomposed into a low-rank background and a sparse foregr…
Motion DetectionMoving Object Detectionobject-detectionObject Detection