Papers Moving Object Detection
“Moving Object Detection” 태그가 달린 논문 75편 · 필터 해제
Flying Bird Object Detection Algorithm in Surveillance Video Based on Motion Information
A Flying Bird Object Detection algorithm Based on Motion Information (FBOD-BMI) is proposed to solve the problem that the features of the object are not obvious in a single frame, and the size of the object is small (low…
Moving Object DetectionObjectobject-detectionObject Detection+2RGB-Event Fusion for Moving Object Detection in Autonomous Driving
Moving Object Detection (MOD) is a critical vision task for successfully achieving safe autonomous driving. Despite plausible results of deep learning methods, most existing approaches are only frame-based and may fail t…
Autonomous DrivingMoving Object Detectionobject-detectionObject DetectionGraph CNN for Moving Object Detection in Complex Environments from Unseen Videos
Moving Object Detection (MOD) is a fundamental step for many computer vision applications. MOD becomes very challenging when a video sequence captured from a static or moving camera suffers from the challenges: camouflag…
Change DetectionDeep Learninggraph constructionInstance Segmentation+5Robust Dual-Graph Regularized Moving Object Detection
Moving object detection and its associated background-foreground separation have been widely used in a lot of applications, including computer vision, transportation and surveillance. Due to the presence of the static ba…
Moving Object DetectionObjectobject-detectionObject DetectionDetecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
Satellite video cameras can provide continuous observation for a large-scale area, which is important for many remote sensing applications. However, achieving moving object detection and tracking in satellite videos rema…
Matrix CompletionMoving Object DetectionObjectobject-detection+2LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
Moving object detection and segmentation is an essential task in the Autonomous Driving pipeline. Detecting and isolating static and moving components of a vehicle's surroundings are particularly crucial in path planning…
Autonomous DrivingData AugmentationMotion SegmentationMoving Object Detection+3HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery
Wide Area Motion Imagery (WAMI) yields high-resolution images with a large number of extremely small objects. Target objects have large spatial displacements throughout consecutive frames. This nature of WAMI images make…
Moving Object DetectionObjectobject-detectionObject Detection+1Moving Object Detection for Event-based vision using Graph Spectral Clustering
Moving object detection has been a central topic of discussion in computer vision for its wide range of applications like in self-driving cars, video surveillance, security, and enforcement. Neuromorphic Vision Sensors (…
ClusteringCurved Text DetectionEvent-based visionMoving Object Detection+4Moving Object Detection for Event-based Vision using k-means Clustering
Moving object detection is important in computer vision. Event-based cameras are bio-inspired cameras that work by mimicking the working of the human eye. These cameras have multiple advantages over conventional frame-ba…
ClusteringEvent-based visionMoving Object DetectionObject+2Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video
Video privacy leakage is becoming an increasingly severe public problem, especially in cloud-based video surveillance systems. It leads to the new need for secure cloud-based video applications, where the video is encryp…
Motion DetectionMoving Object DetectionMultiple Object TrackingObject+5ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer
We propose ST-DETR, a Spatio-Temporal Transformer-based architecture for object detection from a sequence of temporal frames. We treat the temporal frames as sequences in both space and time and employ the full attention…
Moving Object DetectionObjectobject-detectionObject DetectionBEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving
Detection of moving objects is a very important task in autonomous driving systems. After the perception phase, motion planning is typically performed in Bird's Eye View (BEV) space. This would require projection of obje…
Autonomous DrivingMotion PlanningMotion SegmentationMoving Object Detection+4MODETR: Moving Object Detection with Transformers
Moving Object Detection (MOD) is a crucial task for the Autonomous Driving pipeline. MOD is usually handled via 2-stream convolutional architectures that incorporates both appearance and motion cues, without considering …
Autonomous DrivingDecoderMoving Object DetectionObject+3Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation
Moving objects have special importance for Autonomous Driving tasks. Detecting moving objects can be posed as Moving Object Segmentation, by segmenting the object pixels, or Moving Object Detection, by generating a bound…
Autonomous DrivingDecoderMoving Object DetectionMulti-Task Learning+5VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
Moving object Detection (MOD) is a critical task in autonomous driving as moving agents around the ego-vehicle need to be accurately detected for safe trajectory planning. It also enables appearance agnostic detection of…
Autonomous DrivingGPUMotion CompensationMoving Object Detection+3UAV Images Dataset for Moving Object Detection from Moving Cameras
This paper presents a new high resolution aerial images dataset in which moving objects are labelled manually. It aims to contribute to the evaluation of the moving object detection methods for moving cameras. The proble…
Motion DetectionMoving Object DetectionObjectobject-detection+1Camouflaged Object Detection and Tracking: A Survey
Moving object detection and tracking have various applications, including surveillance, anomaly detection, vehicle navigation, etc. The literature on object detection and tracking is rich enough, and several essential su…
Anomaly DetectionMoving Object DetectionObjectobject-detection+2FMODetect: Robust Detection of Fast Moving Objects
We propose the first learning-based approach for fast moving objects detection. Such objects are highly blurred and move over large distances within one video frame. Fast moving objects are associated with a deblurring a…
DeblurringImage MattingMoving Object Detectionobject-detection+2Moving object detection for visual odometry in a dynamic environment based on occlusion accumulation
Detection of moving objects is an essential capability in dealing with dynamic environments. Most moving object detection algorithms have been designed for color images without depth. For robotic navigation where real-ti…
Moving Object DetectionObjectobject-detectionObject Detection+1Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection
Moving object detection is critical for automated video analysis in many vision-related tasks, such as surveillance tracking, video compression coding, etc. Robust Principal Component Analysis (RPCA), as one of the most …
Moving Object DetectionObjectobject-detectionObject Detection+1