Abstract: A system and method for automating a recorded observed behavior of at least one person is disclosed. The present invention records a video of the at least one person with respect to at least one object and detects at least one feature of the at least one person and the at least one object from at least one video image. Further, the present invention measures one or more parameters, wherein the one or more parameters correspond to a proximity between the at least one feature of the at least one person and the at least one object, eye coordinates, head coordinates. Based on which, the present invention automatically determines and notifies behavior characteristics of the at least one person by detecting at least one of the proximity meets a predefined threshold criteria, the eye coordinates and the head coordinates meet a pre-defined threshold coordinates.

Abstract: A system and method for automating a recorded observed behavior of a laboratory animal in a clinical trial is disclosed. The present invention records a video of the laboratory animal with respect to one or more objects. The recorded data is utilized to detect at least one feature points such as head, whiskers, tail, waist etc. of the animal and a one or more objects in video, wherein the one or more objects are a known object and an unknown object. The present invention thus automatically determines the behavior characteristics of the animal by measuring a proximity and comparing the proximity with a predefined threshold criterion with respect to the one or more objects without human intervention. The behavior characteristics are determined in the form of a type of behavioral events, a time interval, number of occurrences of each type of behavioral events, latency, and distance travelled by the animal.

Abstract: A system and method for automating a recorded observed behavior of a laboratory animal in a clinical trial is disclosed. The present invention records a video of the laboratory animal with respect to one or more objects. The recorded data is utilized to detect at least one feature points such as head, whiskers, tail, waist etc. of the animal and a one or more objects in video, wherein the one or more objects are a known object and an unknown object. The present invention thus automatically determines the behavior characteristics of the animal by measuring a proximity and comparing the proximity with a predefined threshold criterion with respect to the one or more objects without human intervention. The behavior characteristics are determined in the form of a type of behavioral events, a time interval, number of occurrences of each type of behavioral events, latency, and distance travelled by the animal.