Vehware Project

"Single camera detecting person via OpenCV -   Senior Project for a dual diploma team that would put together a "motion detection" mostly "person motion detection" from a video stream. The goal would be to alert a truck driver when he is backing up that a person is behind the truck. I checked out OpenCV as the basis for this capability using python. OpenCV comes with a body detector and we have used it in some of our work, so adapting it to a student project should be reasonable. The challenge is to get representative and realistic data so that you can define and then estimate an error metric"

Problem analysis:

In this section, we need to investigate and understand the issue deeply. We may be able to answer the questions what is the issue ? what does causes this issue ?

Posible solutions:

After the problem is analyzed well, we consider possible solutions which on the side of hardware and software.

Software solutions:

The paper[1] can be a referance since it is demonstrated on a conferance. If a paper cited 150 times and pass over 10 years on it, the problem must have been solved We should study it well when we access to BU network.

Hardware solutions: which hardware does fit best for possible solutions ? A camera with image processing or kinect like motion trackers ? can raspbery pi 2 or similar handle these software solutions? Input devices: intel realsense Camera: able to determine distance of a object, low range, low price considered to kinect. kinect: :higher range, able to classify movement of a human as default, high price($150) double cam: :cheapest solution. more programming work and CPU power required Infrared cam :reasonable cost $40, easy to detect human, difficult to detect other objects.

Input devices are listed based on Phd student's suggestions.