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Tracking motion objects in infrared videos

Longin Jan Latecki, R. Miezianko, D. Pokrajac
Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.  
We propose motion detection and object tracking method that is particularly suitable for infrared videos.  ...  Detection of moving objects in infrared videos is based on changing texture in parts of the view field.  ...  Object tracking Robust detection of motion regions in IR videos introduced in Section 2 is the basis for tracking moving object.  ... 
doi:10.1109/avss.2005.1577250 dblp:conf/avss/LateckiMP05 fatcat:rhim6tncljaflesk6l4thyzxz4

A Thermal Infrared Video Benchmark for Visual Analysis

Zheng Wu, Nathan Fuller, Diane Theriault, Margrit Betke
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
We hereby publish a new thermal infrared video benchmark, called TIV, for various visual analysis tasks, which include single object tracking in clutter, multi-object tracking in single or multiple views  ...  , analyzing motion patterns of large groups, and censusing wild animals in flight.  ...  To the best of our knowledge, this is the largest thermal infrared video dataset available to the public. II.  ... 
doi:10.1109/cvprw.2014.39 dblp:conf/cvpr/WuFTB14 fatcat:pllhsqdgnfg27psyhwh5pa44dy

Pixying Behavior: A Versatile Real-Time and Post Hoc Automated Optical Tracking Method for Freely Moving and Head Fixed Animals

Mostafa A. Nashaat, Hatem Oraby, Laura Blanco Peña, Sina Dominiak, Matthew E. Larkum, Robert N. S. Sachdev
2017 eNeuro  
With this approach, we expand the temporal resolution of the Pixy camera and track motion (post hoc) at the limit of high-speed video frame rates.  ...  Finally, we show that this system is flexible: it can be used to track individual whisker or limb position without any sophisticated object tracking algorithm, it can be used in many lighting conditions  ...  We also thank members of the Larkum lab and, in particular, Christina Bocklisch, Guy Doron, Albert Gidon, Naoya Takahashi, and Keisuke Sehara for useful discussions about earlier versions of this manuscript  ... 
doi:10.1523/eneuro.0245-16.2017 pmid:28275712 pmcid:PMC5318546 fatcat:7d663dcak5gorfnqus4n3iebdu


V. M. Sineglazov, V. Yu. Derkach
2017 Electronics and Control Systems  
In the given paper, it was proposed the algorithm for tracking sick individuals of threatened species on the base of thermogram post-processing.  ...  There is both camera motion and object motion in the movie. The desired output is a video in which the sick individual is marked in every frame of the video.  ...  The objective of video tracking is to associate target objects in consecutive video frames. We have to detect and track the object moving independently to the background.  ... 
doi:10.18372/1990-5548.51.11711 fatcat:qw32qliljndllkz5htv4sr4g3u

Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking

Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar Nath, Gunasekaran Seetharaman
2007 Journal of Multimedia  
A new efficient motion detection algorithm referred to as the flux tensor is used to detect moving objects in infrared video without requiring background modeling or contour extraction.  ...  This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system.  ...  This paper is based on "Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking," by F.  ... 
doi:10.4304/jmm.2.4.20-33 pmid:19096530 pmcid:PMC2605095 fatcat:wti63z2zp5dbvp6biv6usunfrq

Features Extraction of Moving Target Image Based on Nuclear Method and Spatio-Temporal Correlation Theory

B.L. Yuan
2015 Chemical Engineering Transactions  
template for non rigid object tracking the false detection problem.  ...  By tracking template and consecutive frames difference profile of coarse contour tracking, to avoid the traditional tracking method to match and search the large computational problems and fixed size matching  ...  In visual motion analysis, object detection and segmentation is in image sequence will be moving target from the background separated.  ... 
doi:10.3303/cet1546065 doaj:a4d64c7a511c4f028f9b9b8a6f736ffc fatcat:4ijvy6casvfofbmncj33p2i6xq

Page 33 of SMPTE Motion Imaging Journal Vol. 115, Issue 1 [page]

2006 SMPTE Motion Imaging Journal  
Put very simply, it uses an infrared LED illuminator, an infrared reflective mirror, and two miniature video cameras to capture video footage of a subject's eye and also footage from the subject's perspec  ...  Eye Tracking Eye tracking enables one to see what others are see- ing using infrared (IR) technology. For this study, the Applied Science Laboratory Model 501 eye tracking sys- tem was used (Fig. 1).  ... 

Design of Robust Infrared Image Sequence (IR-Video) Target Tracking Model

2020 International journal of recent technology and engineering  
This article therefore proposed the use of infrared cameras as sensors to monitor the object. The infrared camera is effective when the object changes its direction, like its contemporaries.  ...  As regards protection, monitoring a certain objective has become a primary goal and thus has helped to incorporate the video technology into the industry.  ...  Design of Robust Infrared Image Sequence (IR-Video) Target Tracking Model  ... 
doi:10.35940/ijrte.e6791.018520 fatcat:zmha2hcg5jflxkt4zwlyqrnooq

Table of contents

2007 2007 IEEE Conference on Advanced Video and Signal Based Surveillance  
and Probabilistic Classification of Human Actions in Videos 342 Carlo Colombo, Dario Comanducci, Alberto Del Bimbo Thu-PO4: Motion detection Fusion of Background Estimation Approaches for Motion  ...  On the Effect of Motion Segmentation Techniques in Description Based Adaptive Video Transmission 359 Juan Carlos San Miguel, Jose Maria M.  ...  3-D model-based people detection & tracking 579 Giovanni Garibotto Author index 585  ... 
doi:10.1109/avss.2007.4425270 fatcat:4iz6xfdjknc5vbh4kpds4oocpm

Defensive Turret Defensive Turret with Fully Automated Motion Detection Using Infrared Technology

Hazel Mae A. Adriano, De La Salle University, Manila, Philippines
2019 International Journal of Emerging Trends in Engineering Research  
Motion detection through Python and Open CV is used to detect humans in the Area of Interest (AOI) shown covered by digital cameras than can become possible targets.  ...  These tests were done in both standard and infrared modes of the camera. Results show that the turret can effectively operate in both automatic mode and manual control mode.  ...  Since the military engage in warfare of different settings, the infrared tracking system may be of use to track enemies during the night-time and the standard tracking system may be used during daytime  ... 
doi:10.30534/ijeter/2019/05792019 fatcat:u73zeibbs5aedbds5iydzkrf74

Visual tracking by fusing multiple cues with context-sensitive reliabilities

Erkut Erdem, Séverine Dubuisson, Isabelle Bloch
2012 Pattern Recognition  
First, we carry out the integration of cues both in making predictions about the target object and in verifying them through observations.  ...  However, how the multi-cue integration is realized during tracking is still an open issue. In this work, we present a novel data fusion approach for multi-cue tracking using particle filter.  ...  Even though in our experiments we use color, motion and infrared brightness cues as the main sources of information for tracking an object, we can extend this list with further visual cues (such as feature  ... 
doi:10.1016/j.patcog.2011.10.028 fatcat:zwflytrlhrgorihttozd7fxmum

A thermal Object Tracking benchmark

Amanda Berg, Jorgen Ahlberg, Michael Felsberg
2015 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
Therefore, we hereby propose a thermal infrared benchmark according to the Visual Visual Object Tracking (VOT) protocol for evaluation of STSO tracking methods.  ...  Short-term single-object (STSO) tracking in thermal images is a challenging problem relevant in a growing number of applications.  ...  Furthermore, tracking in thermal infrared video poses different challenges compared to tracking in visual video [22] , hence, a separate benchmark is needed.  ... 
doi:10.1109/avss.2015.7301772 dblp:conf/avss/BergAF15 fatcat:dejdnao3d5dndkg4asyjkp23nq

Understanding animal flight with three-dimensional and infrared computer vision

Margrit Betke
2013 Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data - MAED '13  
We have used infrared thermal cameras to record Brazilian free-tailed bats in California, Massachusetts, New Mexico, and Texas, and developed automated image analysis methods that detect, track, and count  ...  This is important for understanding the intricacies of flight and the interactions of airborne animals that fly in groups.  ...  She conducts research in computer vision, in particular, the development of methods for detection, segmentation, registration, and tracking of objects in visiblelight, infrared, and x-ray image data.  ... 
doi:10.1145/2509896.2509898 dblp:conf/mm/Betke13 fatcat:jo52kbsefzft7fz5ctohq7sazq

Landing spot selection for UAV emergency landing

P. T. Eendebak, A. W. M. van Eekeren, R. J. M. den Hollander, Robert E. Karlsen, Douglas W. Gage, Charles M. Shoemaker, Grant R. Gerhart
2013 Unmanned Systems Technology XV  
The motion and structure detection uses background estimation of stabilized video. The background variation is measured and used to enhance the moving objects if necessary.  ...  The method is able to detect objects in the presence of camera movement and motion parallax. Using the detected obstacles we select a safe landing zone for the UAV.  ...  A typical frame with tracked keypoints is shown in figure 3 . • Motion estimation of a projective transformation using RANSAC and a DLT estimator. 17 For infrared video sequences the keypoint calculation  ... 
doi:10.1117/12.2017910 fatcat:lk7skrfi4zgtjeptdxsbuhtlvm

Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey [article]

D. K. Prasad, D. Rajan, L. Rachmawati, E. Rajabaly, C. Quek
2016 arXiv   pre-print
The main processes involved in object tracking include video frame registration, dynamic background subtraction, and the object tracking algorithm itself.  ...  This paper provides a comprehensive overview of various approaches of video processing for object detection and tracking in the maritime environment.  ...  The organization of this survey is given in Fig. 1 .  ... 
arXiv:1611.05842v1 fatcat:da74eep66rdl5is2rwqsi7yzjm
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