Filters








356 Hits in 6.2 sec

Pedestrian Detection in Low-Resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)

Jiejie Zhu, Omar Javed, Jingen Liu, Qian Yu, Hui Cheng, Harpreet Sawhney
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
Detecting pedestrians at a distance from large-format wide-area imagery is a challenging problem because of low ground sampling distance (GSD) and low frame rate of the imagery.  ...  To overcome these challenges, we propose a novel approach to extract Multi-scale Intrinsic Motion Structure features from pedestrian's motion patterns for pedestrian detection.  ...  Yu and Medioni [24] use motion structure analysis approach in a 4D space for vehicle detection.  ... 
doi:10.1109/cvpr.2014.449 dblp:conf/cvpr/ZhuJLYCS14 fatcat:ykgykuvigzc55o7yd7q23jjftu

Survey of Important Issues in Multi Unmanned Aerial Vehicles Imaging Systeme Indian Commercial Banks

Changjian Deng, Goumin Liu, Fucun Qu, XiFeng He, Shaoquan Zhang
2018 International Journal of Software & Hardware Research in Engineering  
Currently, they are widely used in bridge crack detection, air pollution monitoring, cooperation track, rescue work, and so on. However, there are many issues to be resolved in these applications.  ...  These issues are proposed and reviewed in the paper. And the main challenge for the application is concluded in the end.  ...  The deep learning method The machine learning methods and techniques have been widely used to detect crack and fault in aerial imagery [16] .  ... 
doi:10.26821/ijshre.6.10.2018.61005 fatcat:pf2ioeyh6faqpi7yuzd2qx5czm

Motion-Driven Segmentation by Competitive Neural Processing

Sonia Mota, Eduardo Ros, Javier Díaz, Eva M. Ortigosa, Alberto Prieto
2005 Neural Processing Letters  
We describe here a neural structure that works as a dynamic filter above this MT layer for image segmentation and takes advantage of neural population coding in the cortical processing areas.  ...  Bio-inspired energy models compute motion along the lines suggested by the neurophysiological studies of V1 and MT areas in both monkeys and humans: neural populations extract the structure of motion from  ...  ., Germany) for providing us with the overtaking sequences and A. L. Tate for revising our English text.  ... 
doi:10.1007/s11063-005-2158-1 fatcat:bswkrm2cm5aorpzshqenflqfoq

Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics [article]

Wei Huang, Yifan Zhou, Gaojie Jin, Youcheng Sun, Alec Banks, Jie Meng, James Sharp, Simon Maskell, Xiaowei Huang
2022 arXiv   pre-print
Its perception system, based on convolutional neural networks, processes a high-resolution Wide Area Motion Imagery (WAMI) data stream.  ...  As a major case study, we interrogate a real-world dynamic tracking system which uses a single Kalman Filter (KF) - a special case of Bayes filter - to localise and track a ground vehicle.  ...  As a major case study, we work with a real-world dynamic tracking system [6] , which detects and tracks ground vehicles over the high-resolution Wide Area Motion Imagery (WAMI) data stream, named WAMI  ... 
arXiv:2010.08311v2 fatcat:i64uyszpp5eczn5s3rysfse47q

Moving object prediction for off-road autonomous navigation

Raj Madhavan, Craig I. Schlenoff, Grant R. Gerhart, Charles M. Shoemaker, Douglas W. Gage
2003 Unmanned Ground Vehicle Technology V  
The realization of on-and off-road autonomous navigation of Unmanned Ground Vehicles (UGVs) requires real-time motion planning in the presence of dynamic objects with unknown trajectories.  ...  The development of a moving object testbed that facilitates the testing of different representations and prediction algorithms in an implementation-independent platform is also outlined.  ...  The problem of moving object detection has been an area of active research and can be readily identified in the literature.  ... 
doi:10.1117/12.485771 fatcat:cdc5wngw2nai3jjoholezvd5iu

Survey of Pedestrian Detection for Advanced Driver Assistance Systems

David Gerónimo, Antonio M López, Angel D Sappa, Thorsten Graf
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Two problems arising in this research area are the lack of public benchmarks and the difficulty in reproducing many of the proposed methods, which makes it difficult to compare the approaches.  ...  The major challenge of PPSs is the development of reliable on-board pedestrian detection systems.  ...  The objective of a PPS is to detect the presence of both stationary and moving people in a specific area of interest around the moving host vehicle in order to warn the driver, perform braking actions,  ... 
doi:10.1109/tpami.2009.122 pmid:20489227 fatcat:yqrrufd6j5ecxap5q3j2vlpbd4

Autonomous UAV-based mapping of large-scale urban firefights

Stephen Snarski, Karl Scheibner, Scott Shaw, Randy Roberts, Andy LaRow, Eric Breitfeller, Jasper Lupo, Darron Nielson, Bill Judge, Jim Forren, Daniel J. Henry
2006 Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III  
awareness for large-scale battalion-level firefights in cluttered urban environments.  ...  Sensor systems evaluated were an IR bullet tracking system by Lawrence Livermore National Laboratory (LLNL) and an acoustic gunshot detection system by Planning Systems, Inc. (PSI).  ...  Alexander Kott (DARPA IXO PM) who generated the initial idea for FightSight and provided us the opportunity to undertake this effort.  ... 
doi:10.1117/12.665310 fatcat:sl6s72ekunekbktoo5uwmy2cj4

Front Matter: Volume 10806

Xudong Jiang, Jenq-Neng Hwang
2018 Tenth International Conference on Digital Image Processing (ICDIP 2018)  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  using a Base 36 numbering system employing both numerals and letters.  ...  for improving performance of fire control radar based on accumulation detection 10806 11 Moving object detection in videos from hand-held camera 10806 12 Forward vehicle detection method based on geometric  ... 
doi:10.1117/12.2510343 fatcat:maohjht2t5apneao4iivotwxey

A Survey of Computer Vision Methods for 2D Object Detection from Unmanned Aerial Vehicles

Dario Cazzato, Claudio Cimarelli, Jose Luis Sanchez-Lopez, Holger Voos, Marco Leo
2020 Journal of Imaging  
This survey presents recent advancements in 2D object detection for the case of UAVs, focusing on the differences, strategies, and trade-offs between the generic problem of object detection, and the adaptation  ...  All in all, the detection of the objects is undoubtedly the most important low-level task, and the most employed sensors to accomplish it are by far RGB cameras due to costs, dimensions, and the wide literature  ...  camera motion; in this context, moving objects not conform with the model are detected and tracked, even in the case of very fast motion.  ... 
doi:10.3390/jimaging6080078 pmid:34460693 pmcid:PMC8321148 fatcat:ds4kpheadvg6xp2fambrp6nffq

Contour-based object tracking with occlusion handling in video acquired using mobile cameras

A. Yilmaz, Xin Li, M. Shah
2004 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We propose a tracking method which tracks the complete object regions, adapts to changing visual features, and handles occlusions.  ...  Tracking is achieved by evolving the contour from frame to frame by minimizing some energy functional evaluated in the contour vicinity defined by a band.  ...  In general, rigid-body motion models are not suitable for tracking nonrigid objects, e.g., humans and animals.  ... 
doi:10.1109/tpami.2004.96 pmid:15521500 fatcat:yt24y7isazhgxlzf6ccqceqlze

Autonomous Underwater Navigation and Optical Mapping in Unknown Natural Environments

Juan Hernández, Klemen Istenič, Nuno Gracias, Narcís Palomeras, Ricard Campos, Eduard Vidal, Rafael García, Marc Carreras
2016 Sensors  
We present an approach for navigating in unknown environments while, simultaneously, gathering information for inspecting underwater structures using an autonomous underwater vehicle (AUV).  ...  These 3D models are also of particular interest to other fields of study in marine sciences, since they can serve as base maps for environmental monitoring, thus allowing change detection of biological  ...  Underwater imagery has also been used to identify and classify different benthic elements in the surveyed area [17] [18] [19] as well as to detect changes in the environment [20] [21] [22] .  ... 
doi:10.3390/s16081174 pmid:27472337 pmcid:PMC5017340 fatcat:4mzz52lfyvfwriscz56w4cdbei

IMAGE RECORDING CHALLENGES FOR PHOTOGRAMMETRIC CONSTRUCTION SITE MONITORING

S. Vincke, M. Bassier, M. Vergauwen
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
</p><p>This work enumerates several real-world examples of difficulties construction sites pose for the recording of imagery for photogrammetry purposes.  ...  This work focuses on the recording of imagery for photogrammetric processing and the challenging conditions often encountered on construction sites.  ...  We would also like to thank Willemen Group for giving access to their construction sites.  ... 
doi:10.5194/isprs-archives-xlii-2-w9-747-2019 fatcat:unouawmpk5bx7axtp2xzhksdue

A smart sensor with hyperspectral/range fovea and panoramic peripheral view

Tao Wang, Zhigang Zhu, H. Rhody
2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
We propose an adaptive and effective multimodal peripheral-fovea sensor design for real-time targets tracking.  ...  This design is inspired by the biological vision systems for achieving real-time target detection and recognition with a hyperspectral/range fovea and panoramic peripheral view.  ...  Section 4 presents the image exploitation algorithms for detecting and tracking moving targets, and spectral classification in recognizing the moving objects.  ... 
doi:10.1109/cvpr.2009.5204095 fatcat:iw3v6x7xcrb6rdrge5yzj3ynjy

A smart sensor with hyperspectral/range fovea and panoramic peripheral view

Tao Wang, Zhigang Zhu, Harvey Rhody
2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
We propose an adaptive and effective multimodal peripheral-fovea sensor design for real-time targets tracking.  ...  This design is inspired by the biological vision systems for achieving real-time target detection and recognition with a hyperspectral/range fovea and panoramic peripheral view.  ...  Section 4 presents the image exploitation algorithms for detecting and tracking moving targets, and spectral classification in recognizing the moving objects.  ... 
doi:10.1109/cvprw.2009.5204095 dblp:conf/cvpr/WangZR09 fatcat:7mqhwfwhg5dmzd3uam3iidjbla

A Self-Calibrating Probabilistic Framework for 3D Environment Perception Using Monocular Vision

Razvan Itu, Radu Danescu
2020 Sensors  
This paper presents a framework for extracting and tracking obstacle 3D data from the surrounding environment of a vehicle in traffic, using as a sensor a generic camera.  ...  the integration of automatic calibration and measurement model generation into a scene tracking system that is able to work with any camera to perceive the obstacles in real traffic.  ...  Paper [20] represents another method for vehicle detection and tracking using the fusion of stereo data and optical flow vectors.  ... 
doi:10.3390/s20051280 pmid:32120868 pmcid:PMC7085646 fatcat:sbt725qv5bhlxnqvda6hu2jpo4
« Previous Showing results 1 — 15 out of 356 results