Computer-aided ethology aims to simulate human ethological functions or visual observations and cognitive analysis. As a pH.D. project , I captured the (X, Y) coordinate* and Surface Area, of 4 mice, during 4 hours, (to a data file), every 40 millisecond (25 data points (images) / second). Each, of the four motion files contains approx. 360,000 records! The problem, as I’ve defined it, is divided into 3 principle components, Input, Data and Behavior Analysis. Input -How to capture the data. Data – How to convert the data to motion and then to behavior Behavior – How to create “knowledge” about behavior, which also entails measuring, evaluating and understanding.
Fundamental Differences : From a machine vision perspective the image contains pixels with gray levels. We recognize water, food, sides, floor, … We can defined objects at fixed coordinates and track objects which contrast from other objects. However, it is difficult to imply impression, i.e. “near the food”. The subject (i.e. mouse) surely sees all this from another perspective. (* Note : the X,Y coordinate is the location of the berry center of the animal).
Graphical representation of Basin and Motion Data How to Present Data? This diagram of motion data provides certain information but eliminates sequence and time. Replacing and eliminating data could provide more information for humans but limit a computer’s potential to resolve problems. This illustrates the mouse’s activity and indicates area of interest, to the mouse!
My Software Tools
y Divide and analyze coordinate frequency
Data errors due to rapid a motion such as “jumping” up toward the camera.