FreezeFrame, the first video-based system for fear conditioning, has become the standard in its field. It combines the sensitivity of the human observer with the objectivity and high throughput of automation. While infrared beams can detect gross movements of an animal from one part of the cage to another, FreezeFrame can detect the minute movements of grooming, sniffing, turning and rearing. And FreezeFrame monitors the animal at up to 15 times per second, not once every 5 seconds, for far more objective and reproducible results. FreezeFrame can also collect and process data for learned helplessness experiments, including Tail Suspension and the Porsolt Forced Swim Test.
Not a tracking system, but a proprietary motion detection algorithm filters out shadows, light flicker and camera noise, and detects movements as small as 1 mm.
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