Search results for "Motion detection"

showing 5 items of 25 documents

CDnet 2014: An Expanded Change Detection Benchmark Dataset

2014

International audience; Change detection is one of the most important low-level tasks in video analytics. In 2012, we introduced the changedetection.net (CDnet) benchmark, a video dataset devoted to the evalaution of change and motion detection approaches. Here, we present the latest release of the CDnet dataset, which includes 22 additional videos (~70,000 pixel-wise annotated frames) spanning 5 new categories that incorporate challenges encountered in many surveillance settings. We describe these categories in detail and provide an overview of the results of more than a dozen methods submitted to the IEEE Change Detection Workshop 2014. We highlight strengths and weaknesses of these metho…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingbusiness.industryComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMotion detection[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingcomputer.software_genre[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingAnalyticsBenchmark (computing)Data miningbusinesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingChange detection[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Détection robuste de mouvement par histogrammes quasi‐continus

2012

National audience; Dans cet article, nous proposons d'utiliser la représentation de distributions de valeurs par histogrammes quasi-continus pour réaliser une détection temps réel de mouvement dans une séquence d'images. Nous comparons les résultats de cette détection à deux méthodes de référence de la littérature.

densityvision[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]motion detection[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Quasi-continuous histogram[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]image processing
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Temporal Denoising of Kinect Depth Data

2012

The release of the Microsoft Kinect has attracted the attention of researchers in a variety of computer science domains. Even though this device is still relatively new, its recent applications have shown some promising results in terms of replacing current conventional methods like the stereo-camera for robotics navigation, multi-camera system for motion detection and laser scanner for 3D reconstruction. While most work around the Kinect is on how to take full advantage of its capabilities, so far only a few studies have been carried out on the limitations of this device and fewer that provide solutions to enhance the precision of its measurements. In this paper, we review and analyse curr…

depth measurement[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingLaser scanning[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceNoise reductionDenoising algorithmComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingtemporal denoising0202 electrical engineering electronic engineering information engineeringComputer visionImage denoisingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry3D reconstruction020206 networking & telecommunicationsRoboticsMotion detectionKinect depth dataMicrosoft Kinect020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2012 Eighth International Conference on Signal Image Technology and Internet Based Systems
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Motion detection in goldfish investigated with the optomotor response is “color blind”

1996

AbstractThe action spectrum of the optomotor response in goldfish was measured to investigate which of the four cone types involved in color vision contributes to motion detection. In the dark-adapted state, the action spectrum showed a single maximum in the range of 500–520 nm, and resembled the rod spectral sensitivity function. Surprisingly, the action spectrum measured in the light-adapted state also revealed a single maximum only, located in the long wavelength range between 620 and 660 nm. A comparison with spectral sensitivity functions of the four cone types suggests that motion detection is dominated by the L-cone type. Using a two colored, “red-green” cylinder illuminated with two…

genetic structuresColor visionMotion PerceptionDark AdaptationRetinal Cone Photoreceptor CellsMotionOpticsGoldfishAnimalsMotion perceptionAction spectrumPhysicsbusiness.industryAdaptation OcularColor visionMotion detectionSensory SystemsOphthalmologySpectral sensitivityOptomotor responseRetinal Cone Photoreceptor CellsMonochromatic colorsense organsGoldfish (Carassius auratus)businessOptomotor responseColor PerceptionPhotic StimulationVision Research
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Brain-Activity-Driven Real-Time Music Emotive Control

2013

Active music listening has emerged as a study field that aims to enable listeners to interactively control music. Most of active music listening systems aim to control music aspects such as playback, equalization, browsing, and retrieval, but few of them aim to control expressive aspects of music to convey emotions. In this study our aim is to enrich the music listening experience by allowing listeners to control expressive parameters in music performances using their perceived emotional state, as detected from their brain activity. We obtain electro-encephalogram (EEG) data using a low-cost EEG device and then map this information into a coordinate in the emotional arousalvalence plane. Th…

music performanceemotion detectionEEG
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