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COCOA: tracking in aerial imagery

Saad Ali, Mubarak Shah, Daniel J. Henry
2006 Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III  
Unmanned Aerial Vehicles (UAVs) are becoming a core intelligence asset for reconnaissance, surveillance and target tracking in urban and battlefield settings.  ...  In order to achieve the goal of automated tracking of objects in UAV videos we have developed a system called COCOA. It processes the video stream through number of stages.  ...  Figure 1 . 1 Over the years vision researchers have proposed numerous algorithms for vision based processing of the videos taken by the aerial vehicles.  ... 
doi:10.1117/12.667266 fatcat:qvsaqkcvyzdwlmahtwiwhogahi

Geo-spatial aerial video processing for scene understanding and object tracking

Jiangjian Xiao, Hui Cheng, Feng Han, Harpreet Sawhney
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
Experimental results on extended time aerial video data demonstrates the qualitative and quantitative aspects of our work.  ...  This paper presents an approach to extracting and using semantic layers from low altitude aerial videos for scene understanding and object tracking.  ...  These videos are captured by an aerial platform with flying height about 1000 meters for semi-urban area vehicle tracking.  ... 
doi:10.1109/cvpr.2008.4587434 dblp:conf/cvpr/XiaoCHS08 fatcat:5ejclvnxbzhypdro776px3ovma

Aerial video surveillance and exploitation

R. Kumar, H. Sawhney, S. Samarasekera, S. Hsu, Hai Tao, Yanlin Guo, K. Hanna, A. Pope, R. Wildes, D. Hirvonen, M. Hansen, P. Burt
2001 Proceedings of the IEEE  
In order to delineate videos into these scene components, we have developed real time, image-processing techniques for 2-D/3-D frame-to-frame alignment, change detection, camera control, and tracking of  ...  There is growing interest in performing aerial surveillance using video cameras.  ...  ACKNOWLEDGMENT The research reported in this paper is the work of a large number of current and past members of the Vision Technologies Laboratory at Sarnoff Corporation.  ... 
doi:10.1109/5.959344 fatcat:zmkbari6ijgvredoomfqwq3wi4

A joint approach to vector road map registration and vehicle tracking for wide area motion imagery

Ahmed Elliethy, Gaurav Sharma
2016 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
For both road network alignment and vehicle tracking, the proposed method offers a very significant improvement over available alternatives: the proposed approach yields better numerical metrics for quantification  ...  Tracking for the large number of vehicles seen in urban-area WAMI is improved by auxiliary information that registration to the vector road-map provides by localizing roads within the scene.  ...  for individual vehicles based on detections in individual frames and the alignment of the oriented trajectories with the road network and directionality.  ... 
doi:10.1109/icassp.2016.7471846 dblp:conf/icassp/ElliethyS16 fatcat:avshpuovqvajfjuy7wpmginjgm

Recognizing human-vehicle interactions from aerial video without training

Jong Taek Lee, Chia-Chih Chen, J. K. Aggarwal
2011 CVPR 2011 WORKSHOPS  
With special interest in recognizing a person getting into and out of a vehicle, we have tested our method on a subset of the VIRAT Aerial Video dataset [11] and achieved superior results.  ...  We propose a novel framework to recognize humanvehicle interactions from aerial video.  ...  In order to correct vehicle location in the given image with a tracked vehicle presence, we scan the image by sliding a window to extract the HOG and calculating the probability of vehicle existence in  ... 
doi:10.1109/cvprw.2011.5981794 dblp:conf/cvpr/LeeCA11 fatcat:2sebwvikvbaglmgkrw53nke2oq

Fast road detection and tracking in aerial videos

H. Zhou, H. Kong, J.M. Alvarez, D. Creighton, S. Nahavandi
2014 2014 IEEE Intelligent Vehicles Symposium Proceedings  
We propose a fast approach for detecting and tracking a specific road in aerial videos.  ...  Experiments are conducted on videos captured by our unmanned aerial vehicles. All the results demonstrate the effectiveness of our proposed method. We test 1755 frames from 5 videos.  ...  However, the assumption is only valid for road detection based on ground vehicles, not true for most aerial ones.  ... 
doi:10.1109/ivs.2014.6856523 dblp:conf/ivs/ZhouKACN14 fatcat:i26bobov5nbidiyptuivu24kyq

Moving Object Detection and Tracking in Forward Looking Infra-Red Aerial Imagery [chapter]

Subhabrata Bhattacharya, Haroon Idrees, Imran Saleemi, Saad Ali, Mubarak Shah
2011 Machine Vision Beyond Visible Spectrum  
Finally, we describe a methodology for tracking already detected objects using their motion history. We substantiate our claims with results on a wide range of aerial video sequences.  ...  These tasks are rendered especially challenging in aerial sequences of infra red modality.  ...  [30] in their paper on moving vehicle and person tracking in aerial videos present a combination of motion layer segmentation with background stabilization, for efficient detection of objects.  ... 
doi:10.1007/978-3-642-11568-4_10 fatcat:5eurd6t3xrc4vodc2xdv3y4v6e

Aerial surveillance vehicles augment security at shipping ports

Robert C. Huck, Muhammad K. Al Akkoumi, Samuel Cheng, James J. Sluss, Jr., Thomas L. Landers, Edward M. Carapezza
2008 Unmanned/Unattended Sensors and Sensor Networks V  
The initial investigation described in this paper demonstrates the use of unmanned aerial surveillance vehicles as a viable method for providing video surveillance of container storage yards.  ...  This research provides the foundation for a follow-on project to use autonomous aerial surveillance vehicles coordinated with autonomous ground surveillance vehicles for enhanced port security applications  ...  In [13] , automatic vehicle detection is characterized through statistical approaches that are based on local features found in the image.  ... 
doi:10.1117/12.799752 fatcat:pfysqtbfnnehja4dge3knrnrfm

Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features

Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Vehicle tracking from a moving aerial platform poses a number of unique challenges including the small number of pixels representing a vehicle, large camera motion, and parallax error.  ...  This way the density of detected vehicles is reduced, which increases tracking consistency. Finally, we use a spatial data based classifier to remove spurious detections.  ...  [29] , a joint probabilistic relation graph with vertex and pairwise edge matching is presented to detect and track vehicles in aerial video sequences.  ... 
doi:10.1109/cvprw.2016.181 dblp:conf/cvpr/UzkentHV16 fatcat:ocpydehvwzhrplgwzgkwdlv75e

Development of a Fixed Wing Unmanned Aerial Vehicle (UAV) for Disaster Area Monitoring and Mapping

Gesang Nugroho, Zahari Taha, Tedy Setya Nugraha, Hatyo Hadsanggeni
2015 Journal of Mechatronics, Electrical Power, and Vehicular Technology  
The development of remote sensing technology offers the ability to perform real-time delivery of aerial video and images.  ...  The video is transmitted to the Ground Control Station (GCS) so that an operator in the ground can monitor the area condition in real time.  ...  Mosaic photo that is shown in Figure 10 , formed by several photos, which is aligned based on overlap (end lap and side lap) of each photo.  ... 
doi:10.14203/j.mev.2015.v6.83-88 fatcat:v6iagffecnd7dextxf3tuma5fe

Developing a More Reliable Aerial Photography-Based Method for Acquiring Freeway Traffic Data

Chi Zhang, Zhongze Tang, Min Zhang, Bo Wang, Lei Hou
2022 Remote Sensing  
method based on optical features or a deep learning method; however, there are few papers that discuss how to solve the issue of video shaking, and existing vehicle data are rarely linked to lane lines  ...  Due to the widespread use of unmanned aerial vehicles (UAVs) in remote sensing, there are fully developed techniques for extracting vehicle speed and trajectory data from aerial video, using either a traditional  ...  There are two types of video-based vehicle recognition methods: one is based on optical properties, such as inter-frame difference, background difference, and optical flow, and the other is based on deep  ... 
doi:10.3390/rs14092202 fatcat:qtcq4dgvkrfelm3ev6qgftmxcq


2013 International Journal of Communication Networks and Security  
Experiments were conducted on a wide variety of aerial videos.  ...  In this system, we escape from the stereotype and existing frameworks of vehicle detection in aerial surveillance, which are either region based or sliding window based.  ...  In addition, geodetic coordinates for objects of interest seen in the video are not available. One of the main topics in aerial image analysis is scene registration and alignment.  ... 
doi:10.47893/ijcns.2013.1070 fatcat:32ok6ghwbzbefgqaxg6bnao4lu

Moving object detection in top-view aerial videos improved by image stacking

Michael Teutsch, Wolfgang Krüger, Jürgen Beyerer
2017 Optical Engineering: The Journal of SPIE  
Our video data are coming from a small fixed-wing unmanned aerial vehicle (UAV) that acquires top-view gray-value images of urban scenes.  ...  Image stacking is a well-known method that is used to improve the quality of images in video data. A set of consecutive images is aligned by applying image registration and warping.  ...  Acknowledgments The research reported in this contribution was funded by the Technical Center for Information Technology and Electronics (WTD 81) of the German Federal Office for Armament and Procurement  ... 
doi:10.1117/1.oe.56.8.083102 fatcat:s55owp7r6jcuhn24vzbpde4f4m

A perspective geometry approach to user-perspective rendering in hand-held video see-through augmented reality

Ali Samini, Karljohan Lundin Palmerius
2014 Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology - VRST '14  
In this paper we consider the type of V-AR that is based on a hand-held device with a fixed camera.  ...  A perspective geometry approach to userperspective rendering in hand-held video see-through augmented reality, VRST Abstract Video see-through Augmented Reality (V-AR) displays a video feed overlaid with  ...  The authors would also like to thank Joakim Kilby for his help with the project development and the staff at the Indoor Micro Unmanned Aerial Vehicle Laboratory.  ... 
doi:10.1145/2671015.2671127 dblp:conf/vrst/SaminiP14 fatcat:rk5nrwixtzd7bjaiv3bxnqej5e

3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter [chapter]

Matthieu Molinier, Tuomas Häme, Heikki Ahola
2005 Lecture Notes in Computer Science  
The aim of the study was to develop methods for moving vehicle tracking in aerial image sequences taken over urban areas. The first image of the sequence was manually registered to a map.  ...  The vehicles were identified among many stabilisation artifacts and tracked, with a simple tracker based on spatiotemporal connected components analysis.  ...  Acknowledgments This work was included in a larger scale project, ENVIMON, partly funded by the National Technology Agency of Finland (Tekes).  ... 
doi:10.1007/11499145_16 fatcat:6sz33m44sfehpjmfroe3lfwjbu
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