Results 31 to 40 of about 48,415 (254)

Path Planning in Threat Environment for UUV with Non-Uniform Radiation Pattern

Sensors, 2020
The problem of optimal trajectory planning of the unmanned underwater vehicle (UUV) is considered and analytically solved. The task is to minimize the risk of detection of the moving object by a static sonar while moving between two given points on a ...
Andrey A. Galyaev, Alexander V. Dobrovidov, Pavel V. Lysenko, Mikhail E. Shaikin, Victor P. Yakhno   +4 more
doaj   +1 more source

Moving objects detection with a moving camera: A comprehensive review

Computer Science Review, 2020
During about 30 years, a lot of research teams have worked on the big challenge of detection of moving objects in various challenging environments. First applications concern static cameras but with the rise of the mobile sensors studies on moving cameras have emerged over time.
Marie-Neige Chapel, Thierry Bouwmans
openaire   +4 more sources

MODETR: Moving Object Detection with Transformers

CoRR, 2021
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 the inter-relations between the spatial or motion features.
Eslam Mohamed, Ahmad El Sallab
openaire   +2 more sources

Optimizing Moving Object Trajectories from Roadside Lidar Data by Joint Detection and Tracking

Remote Sensing, 2022
High-resolution traffic data, comprising trajectories of individual road users, are of great importance to the development of Intelligent Transportation Systems (ITS), in which they can be used for traffic microsimulations and applications such as ...
Jiaxing Zhang, Wen Xiao, Jon P. Mills
doaj   +1 more source

Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Transformer has shown excellent performance in remote sensing field with long-range modeling capabilities. Remote sensing video (RSV) moving object detection and tracking play indispensable roles in military activities as well as urban monitoring ...
Licheng Jiao, Xin Zhang, Xu Liu, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Yuwei Guo, Xu Tang, Biao Hou, Xiangrong Zhang, Jing Bai, Dou Quan, Junpeng Zhang   +15 more
doaj   +1 more source

OCCUPANCY MODELLING FOR MOVING OBJECT DETECTION FROM LIDAR POINT CLOUDS: A COMPARATIVE STUDY [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Lidar technology has been widely used in both robotics and geomatics for environment perception and mapping. Moving object detection is important in both fields as it is a fundamental step for collision avoidance, static background extraction, moving ...
W. Xiao, B. Vallet, Y. Xiao, J. Mills, N. Paparoditis   +4 more
doaj   +1 more source

OBJECT DETECTION UNDER MOVING CLOUD SHADOWS IN WAMI [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
For a reliable and robust moving object detection, the subtraction of a precisely modeled background is crucial in wide-area motion imagery (WAMI). Even the most successful background subtraction algorithms that are designed to model highly-dynamic ...
P. U. Hatipoğlu, R. T. Albayrak, A. A. Alatan   +2 more
doaj   +1 more source

FenceTalk: Exploring False Negatives in Moving Object Detection

Algorithms, 2023
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in ...
Yun-Wei Lin, Yuh-Hwan Liu, Yi-Bing Lin, Jian-Chang Hong   +3 more
doaj   +1 more source

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan, Mohamed S. Abdelbaki   +1 more
wiley   +1 more source

Using mel‐frequency audio features from footstep sound and spatial segmentation techniques to improve frame‐based moving object detection

IET Computer Vision, 2018
Moving object detection in video streams is a challenging and integral part of computer vision which is used in surveillance, traffic and site monitoring, and navigation.
Aditya Roshan, Yun Zhang
doaj   +1 more source