Neurobehavioural analysis of mouse phenotypes requires the monitoring of mouse behaviour over long periods of time. In this study, we describe a trainable computer vision system enabling the automated analysis of complex mouse behaviours. We provide software and an extensive manually annotated video database used for training and testing the system. Our system performs on par with human scoring, as measured from ground-truth manual annotations of thousands of clips of freely behaving mice. As a validation of the system, we characterized the home-cage behaviours of two standard inbred and two non-standard mouse strains. From these data, we were able to predict in a blind test the strain identity of individual animals with high accuracy.

Our video-based software will complement existing sensor-based automated approaches and enable an adaptable, comprehensive, high-throughput, fine-grained, automated analysis of mouse behaviour. Outdoor 3-d Tracking 2 Studies of the navigational abilities of nonhuman primates have largely been limited to what could be described by an observer with a pen and paper. Consequently, we have developed a system that uses a pair of cameras to automatically obtain the three dimensional trajectory of rhesus monkeys performing an outdoor spatial navigation and memory task. The system provides trajectories, path length, speed, and other variables impossible for an unaided observer to note. From trajectory data, we computed and validated a path length measurement. We use this measurement to compare navigation abilities of several subjects.

Additionally, we provide quantitative data on the accuracy of a method for automatic behavior detection. Medabots Ds Kabuto Version English Patch. Currently, the system is being used to examine the sex differences in spatial navigation of rhesus monkeys.

We expect that measures derived from the trajectory data will reveal strategies used by subjects to solve spatial problems. Position tracking of rodents is useful and necessary to help elucidate the behavioral and physiological effects of genetic mutations, drug action, and environmental stimuli. In this paper we describe a real-time system developed to allow continuous overhead video monitoring of rodent behavior in a home cage environment, either in a daylight condition (light-cycle) using standard visible illumination or a night-time condition (dark-cycle), using overhead near infrared illumination (NIR). Due to the lack of research on the effects of NIR on rodent behavior, we also examined open-field locomotor activity under 880 nm and 940 nm wavelengths of NIR, as well as visible white light and a 'dark ' condition consisting of a very dim level of NIR. The experimental result validated the described system and robustly tracked the target rodent in the light cycle, and for high contrast conditions in the dark cycle.

EthoVision: a versatile video. (2001) by L P Noldus, A J Spink, R A Tegelenbosch. As measured from the ground-truth manual annotations of thousands of clips of. EthoVision XT is the most widely applied video tracking software that tracks and analyses the behavior, movement, and activity of. Looking for an animal behavior research tool? EthoVision XT is the most widely applied video tracking software that tracks and analyzes the behavior, movement, and.

It has become increasingly popular to study animal behaviors with the assistance of video recordings. An automated video processing and behavior analysis system is desired to replace the traditional manual annotation. We propose a framework for automatic video based behavior analysis systems, which consists of four major modules: behavior modeling, feature extraction from video sequences, basic behavior unit (BBU) discovery and complex behavior recognition. BBU discovery is performed based on features extracted from video sequences, hence the fusion of multiple dimensional features is very important.