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Event Detection in Complex Scenes Using Interval Temporal Constraints

Yifan Zhang, Qiang Ji, Hanqing Lu
2013 2013 IEEE International Conference on Computer Vision  
It is essential to detect them in a holistic way which incorporates the causality and temporal dependency among them to compensate the limitation of current computer vision techniques.  ...  In this paper, we propose an interval temporal constrained dynamic Bayesian network to extend Allen's interval algebra network (IAN) [2] from a deterministic static model to a probabilistic dynamic system  ...  Introduction Event detection plays an essential role in video content analysis and has received increasing attention from computer vision researchers for decades.  ... 
doi:10.1109/iccv.2013.395 dblp:conf/iccv/ZhangJL13 fatcat:bcqrlelawnghvd3j2uqvwylcv4

The optimal axial interval in estimating depth from defocus

Y.Y. Schechner, N. Kiryati
1999 Proceedings of the Seventh IEEE International Conference on Computer Vision  
For the most robust estimation in the highest spatial frequencies the axial interval should be equal to the depth of field.  ...  For stable estimation at all spatial frequencies, the change in focus setting should be less than twice the depth of field.  ...  It was funded in part by the Israeli Ministry of Science.  ... 
doi:10.1109/iccv.1999.790309 dblp:conf/iccv/SchechnerK99 fatcat:uuw2ry7byfdd7bk4nnaxbienr4

Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality [article]

Lea Müller, Thomas Kessler Computer Vision Group, Friedrich Schiller University of Jena, Department of Social Psychology, Friedrich Schiller University of Jena, Michael Stifel Center, Jena)
2018 arXiv   pre-print
in various instructed interaction conditions.  ...  We also propose to apply a relevant interval selection approach prior to causal inference to identify those transient intervals where adaptation process occurs.  ...  Surprisingly, the capabilities of computer vision and social signal processing have rarely been combined.  ... 
arXiv:1810.12171v1 fatcat:istfglyy3bc67obgg57iguiyge

Computer Vision Syndrome among Patients Attending the Outpatient Department of Ophthalmology in a Tertiary Care Centre: A Descriptive Cross-sectional Study

Priyanka Shrestha, Pranil Man Singh Pradhan, Om Krishna Malla
2020 Journal of Nepal Medical Association  
The objective of this study is to determine the prevalence of computer vision syndrome among people attending the outpatient department of ophthalmology in the tertiary care center in Nepal.  ...  Computer vision syndrome comprises of all the ocular, visual and musculoskeletal symptoms secondary to long term computer use.  ...  ACKNOWLEDGEMENTS Our sincere thanks and appreciation to all the participants of the study who provided their valuable time in this study.  ... 
doi:10.31729/jnma.5123 pmid:34504373 pmcid:PMC7654495 fatcat:tdc2k5vytjacxfnryyctyixgse

Page 1287 of Mathematical Reviews Vol. , Issue 99b [page]

1991 Mathematical Reviews  
The analysis is carried out using geometric algebra, a system which provides a useful tool in many computer vision applications.  ...  New geometric techniques in computer vision (London, 1997). R. Soc. Lond. Philos. Trans. Ser. A Math. Phys. Eng. Sci. 356 (1998), no. 1740, 1175-1192.  ... 

Static Scheduling with Interruption Costs for Computer Vision Applications [chapter]

Francisco A. Candelas, Fernando Torres, Pablo Gil, Santiago T. Puente
2003 Lecture Notes in Computer Science  
It is very difficult to find pre-emptive scheduling algorithms that consider all the main characteristics of computer vision systems.  ...  Therefore, we present an extension to the static algorithm SASEPA for computer vision which considers interruption costs.  ...  It represents a new approach in the scheduling algorithms for computer vision applications which can be also applied to other systems.  ... 
doi:10.1007/3-540-36569-9_34 fatcat:c5wuvfwxdvckvpmtij4mgbfzty

Mobile Robot Destination Generation by Tracking a Remote Controller Using a Vision-aided Inertial Navigation Algorithm

Quoc Khanh Dang, Young-Soo Suh
2013 Journal of Electrical Engineering and Technology  
Also unlike the vision only control, the robot can be out of camera's range of view.  ...  Thus errors in w b C and r are divided into an error in the vision algorithm part and an error in the inertial navigation algorithm. First the error in the vision algorithm part is analyzed.  ...  In [8, 9] , inertial sensors are combined with vision information to estimate the motion. In this paper, we combine inertial sensors with vision information.  ... 
doi:10.5370/jeet.2013.8.3.613 fatcat:metnpjafnrgcdcdrfyw35xxb3u

A Networked High-Speed Vision System for 1,000-FPS Visual Feature Communication

Shingo Kagami, Shoichiro Saito, Takashi Komuro, Masatoshi Ishikawa
2007 2007 First ACM/IEEE International Conference on Distributed Smart Cameras  
A networked high-speed vision system that employs as a vision sensor node a digital vision chip, a CMOS imager that integrates a digital processing element with a photo detector in each pixel is reported  ...  For example, the minimum interval 380 µs occurred immediately after the maximum interval 1,605 µs as shown in Fig. 7.  ...  A vision node can communicate with multiple peers including other vision nodes and host computers.  ... 
doi:10.1109/icdsc.2007.4357511 dblp:conf/icdsc/KagamiSKI07 fatcat:2kdl2ktakjfnnpfqtseuxfy5ji

Normative values for a tablet computer-based application to assess chromatic contrast sensitivity

Lakshmi Bodduluri, Mei Ying Boon, Malcolm Ryan, Stephen J. Dain
2017 Behavior Research Methods  
Tablet computer displays are amenable for the development of vision tests in a portable form.  ...  Assessing color vision using an easily accessible and portable test may help in the self-monitoring of vision-related changes in ocular/ systemic conditions and assist in the early detection of disease  ...  in the assessment of vision in an engaging manner.  ... 
doi:10.3758/s13428-017-0893-7 pmid:28411334 fatcat:3rna3f6anjfjnlrsae4o33zwyu

FPGA-based Realtime Vision
FPGAベースリアルタイムビジョン

Shinichi Hirai, Masakazu Zakouji, Akihiro Masubuchi, Tatsuhiko Tsuboi
2004 Journal of the Robotics Society of Japan  
As shown in the figure, the FPGA-based vision system can compute Hough transforms of successive images in realtime.  ...  FPGA-based Vision System In many applications including object handling and human identification, vision systems are required to process successive images in realtime.  ... 
doi:10.7210/jrsj.22.873 fatcat:vwrjcg57jretridl6qskyepyle

Intelligent Baby Behavior Monitoring using Embedded Vision in IoT for Smart Healthcare Centers

Tanveer Hussain, Khan Muhammad, Salman Khan, Amin Ullah, Mi Young Lee, Sung Wook Baik
2019 Journal of Artificial Intelligence and Systems  
We construct control chart in a specific interval for real-time frames generated by Raspberry Pi (RPi) with attached vision sensor.  ...  This paper introduces a new paradigm in vision sensor IoT technologies by analyzing the behavior of baby through an intelligent multimodal system.  ...  Background subtraction method Background subtraction is a commonly used algorithm for motion detection problem in various computer vision applications.  ... 
doi:10.33969/ais.2019.11007 fatcat:hqikjiqmlvavzcd2krqahthjuy

Computing with Uncertainty: Intervals versus Probabilities

Mark J. L. Orr, Robert B. Fisher, John Hallam
1991 Procedings of the British Machine Vision Conference 1991  
We compare two well known methods of computing with uncertain quantities as used for geometric reasoning in robotics and computer vision.  ...  One method is based on intervals, the other on normal probability distributions. We find the latter method is better, in terms of both speed and accuracy.  ...  Introduction One of the key problems in sensor fusion and computer vision is finding out where things are.  ... 
doi:10.5244/c.5.48 dblp:conf/bmvc/OrrFH91 fatcat:j5g2edrxnjhllcis37vpwmvpue

Analysis of Optokinetic Nystagmus Using Electronic Computer

Toyoji MIYOSHI, Fumihiko OHTA, Kohsuke NAKANO, Toyoko HASHIGUCHI
1970 Practica Oto-Rhino-Laryngologica  
In order to find the interval of nystagmus it is necessary to measure the interval between certain reference points on the electronystagmogram of each case, but this operation is much more complex than  ...  Based on this fact and for the purpose of clarifying the above relationship, the reporter resorted to the analysis procedure of nystagmus using a medical data computer, which he had presented at the 21st  ...  Thus the computer continues counting the interval of the quick phases which come in rapid succession and storing the values in the addresses successively until all of the nystagmic interval are  ... 
doi:10.5631/jibirin.63.89 fatcat:wrqaoaasqfhbho5cnwptbsl3fy

PSI-11 Testing a Computer Vision System for Automatically Detecting Piglet Interbirth Interval

Olivia J Kittle, Suzanne M Leonard
2022 Journal of Animal Science  
The present study demonstrates that computer vision systems can be implemented to monitor piglet birthing events in real-time, allowing caretakers to target their efforts on the most at-risk animals in  ...  However, a single caretaker is often in charge of managing many farrowing events concurrently. To address this labor need, piglet interbirth interval could be monitored using thermal cameras.  ...  The present study demonstrates that computer vision systems can be implemented to monitor piglet birthing events in real-time, allowing caretakers to target their efforts on the most at-risk animals in  ... 
doi:10.1093/jas/skac064.338 fatcat:gueapyo4mbhe5ohkkqluae7mka

Gait Analysis Using Floor Markers and Inertial Sensors

Tri Nhut Do, Young Soo Suh
2012 Sensors  
For accurate estimation, a smoother is proposed, where vision information and inertial sensor data are combined.  ...  In this paper, a gait analysis system which estimates step length and foot angles is proposed. A measurement unit, which consists of a camera and inertial sensors, is installed on a shoe.  ...  In the computation, , 0 0 0ˆ0 0 f k k k k vision k f k v I z x v r r I                  .  ... 
doi:10.3390/s120201594 pmid:22438727 pmcid:PMC3304129 fatcat:3uigqprscza7feyi3tx5so7bom
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