Monitoring animals’ movements using digitized video images

Olivo, Richard F.; Thompson, Margaret C.

doi:10.3758/bf03202701

Cited by 19 publications

(8 citation statements)

References 6 publications

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“…The first video digitizers were of the column scan type. These had no internal memory of their own and were able to sample the video signal only at rather low rates (Olivo & Thompson, 1988). In contrast, a modern frame grabber uses a high-speed analog-to-digital converter to enable real-time conversion of the entire video image to a high-resolution grid of pixels.…”

Section: Video Trackingmentioning

confidence: 99%

EthoVision: A versatile video tracking system for automation of behavioral experiments

Noldus

Spink

Tegelenbosch

2001

Behavior Research Methods, Instruments, & Computers

601

446

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Section: Video Trackingmentioning

confidence: 99%

EthoVision: A versatile video tracking system for automation of behavioral experiments

Noldus

Spink

Tegelenbosch

2001

Behavior Research Methods, Instruments, & Computers

601

446

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“…These had no internal memory of their own, and were only able to sample the video signal at rather low rates [23]. In contrast, a modern frame grabber uses a high-speed analogdigital converter to enable real time conversion of the entire video image to a high-resolution grid of pixels [23].…”

Section: The Development Of Automated Observation Systemsmentioning

confidence: 99%

The EthoVision video tracking system—A tool for behavioral phenotyping of transgenic mice

Spink

Tegelenbosch

Buma

et al. 2001

Physiology & Behavior

236

164

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“…In much research, through distinct objectives, movements and activities of animals have been observed and measured (Fraser, 1978;Olivo and Thompson, 1988;Schofield, 1993;Brandl, 1997). In these studies, a first possibility involves looking at the animals and noting their behaviour.…”

Section: Introductionmentioning

confidence: 99%

An automatic colour-based computer vision algorithm for tracking the position of piglets

Jover

Raya

Martínez-Gómez

et al. 2009

Span. j. agric. res.

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Artificial vision is a powerful observation tool for research in the field of livestock production. So, based on the search and recognition of colour spots in images, a digital image processing system which permits the detection of the position of piglets in a farrowing pen, was developed. To this end, 24,000 images were captured over five takes (days), with a five-second interval between every other image. The nine piglets in a litter were marked on their backs and sides with different coloured spray paints each one, placed at a considerable distance on the RGB space. The programme requires the user to introduce the colour patterns to be found, and the output is an ASCII file with the positions (column X, line Y) for each of these marks within the image analysed. This information may be extremely useful for further applications in the study of animal behaviour and welfare parameters (huddling, activity, suckling, etc.). The software programme initially segments the image in the RGB colour space to separate the colour marks from the rest of the image, and then recognises the colour patterns, using another colour space [B/(R+G+B), (G-R), (B-G)] more suitable for this purpose. This additional colour space was obtained testing different colour combinations derived from R, G and B. The statistical evaluation of the programme's performance revealed an overall 72.5% in piglet detection, 89.1% of this total being correctly detected.Additional key words: animal behaviour, image analysis, pattern recognition, piglets activity, segmentation. ResumenSistema de visión artificial basado en el color, para el seguimiento de la posición de lechones La visión artificial es una potente herramienta de observación al servicio de la investigación en el campo de la producción ganadera. En este sentido, se ha desarrollado un software de tratamiento digital de imagen, basado en la búsqueda y reconocimiento de manchas de color en la imagen, que permite la detección de la posición de los lechones en una corralina de maternidad. Para ello, se capturaron 24.000 imágenes en cinco tomas (días), con un intervalo de 5 segundos entre cada dos imágenes. Los nueve lechones presentes en estas camadas fueron pintados en el lomo y laterales con colores distintos y alejados entre sí en el espacio RGB. El programa precisa la introducción por el usuario de los patrones de color a buscar, devolviendo como salida un fichero ASCII con las posiciones (columna X, fila Y) de cada una de esas manchas en cada imagen analizada. Esta información podría ser de gran utilidad en posteriores aplicaciones para el estudio de paráme-tros de comportamiento y bienestar de los animales (hacinamiento, actividad, amamantamiento, etc.).El software realiza una segmentación previa de la imagen en el espacio RGB, para aislar las manchas de color del resto de la imagen, y posteriormente el reconocimiento de los patrones de color utilizando otro espacio de color [B/(R+G+B), (G-R), (B-G)] más adecuado para tal fin, obtenido a partir de pruebas con diferentes combinaciones ...

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Monitoring animals’ movements using digitized video images

Cited by 19 publications

References 6 publications

EthoVision: A versatile video tracking system for automation of behavioral experiments

EthoVision: A versatile video tracking system for automation of behavioral experiments

The EthoVision video tracking system—A tool for behavioral phenotyping of transgenic mice

An automatic colour-based computer vision algorithm for tracking the position of piglets

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