2009
DOI: 10.1007/s11554-009-0111-7
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Real-time scratching behavior quantification system for laboratory mice using high-speed vision

Abstract: Scratching is a specific behavior induced by itching; it is also a common symptom of many types of dermatitis. For the itching evaluation in animal models, automatic quantification system is needed for objective and accurate observation. In this study, a dedicated real-time motion analysis system is developed for detecting the scratching behavior of laboratory mice in long-time experiments, which enables automated behavior quantification for the development of new drugs for diseases such as atopic dermatitis. … Show more

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Cited by 40 publications
(24 citation statements)
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“…A combination of binarization, frame differencing, centroid calculation and filtering is used to monitor a dark mouse in a transparent container filled with water and positioned above an IR illuminator. The same authors [9] used a combination of frame binarization, frame differencing, centroid calculation, edge and contour extraction and a filtering method they developed in [10], to detect six behaviors in mice. These included moving, rearing, immobility, head grooming, left-side scratching and right side scratching.…”
Section: Related Workmentioning
confidence: 99%
“…A combination of binarization, frame differencing, centroid calculation and filtering is used to monitor a dark mouse in a transparent container filled with water and positioned above an IR illuminator. The same authors [9] used a combination of frame binarization, frame differencing, centroid calculation, edge and contour extraction and a filtering method they developed in [10], to detect six behaviors in mice. These included moving, rearing, immobility, head grooming, left-side scratching and right side scratching.…”
Section: Related Workmentioning
confidence: 99%
“…Significant work with animals has been done in controlled laboratory settings, simplifying the task of gathering video and animal detection. A common approach is to subtract a uniform background from the animals, which has been used to track white mice on black backgrounds [5], [6], [7] or in water [8], [9], [10]. Tracking and detecting behavior of fruit flies (Drosophilia) [11], [12], [13] has been done in similar settings.…”
Section: A Detecting Animals In Videomentioning
confidence: 99%
“…However, all these vision-based methods used standard video images (NTSC 30 fps / PAL 25 fps), whose frame rates are not sufficient to achieve precise behavior analysis for rapid limb movements. Ishii et al [4], [5] have solved this problem for quantifying scratching behavior by using HFR video analysis. In this approach, frame-to-frame difference features for the entire image were calculated for detecting scratching, although the limitation in discriminating multiple behaviors of laboratory animals still remains; this is because they did not consider which body parts are prone to repetitive behavior.…”
Section: Related Workmentioning
confidence: 99%
“…(4) "head grooming" detection To detect the repetitive behavior of "head grooming," the following algorithm described in [5] is adopted to the frameto-frame difference feature F h (t) for the head region. i) pulse thresholding p hg (t) are calculated as pulses by thresholding F h (t) to determine the presence or absence of motion as follows:…”
Section: Behavior Discrimination With a Behavior Look-up Tablementioning
confidence: 99%
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