kinjalchatterjee/motion-detection-python

Python Motion Detection Program

Python Motion Detection Program

Description

A simple motion sensor/detection project that detects motion. This software system is designed in Python that monitors the video signal from one or more cameras and is able to detect if a significant part of the picture has changed. Or in other words, it can detect motion. The aim of detection is to separate the moving objects called “foreground” from the static information called “foreground” in video sequences. The effectiveness of moving object detection methods is very important for the postprocessing of object tracking, target classification, behavior understanding, and so on. Among all kinds of moving object detection methods, the background subtraction is considered as the most effective method to extract the foreground object. This method compares the pixels of an image with a background model and considers those that differ from the background model as moving objects. So, the key of this method is the effective background modeling, which directly affects the accuracy and robustness of the whole detection system. In today's competitive environment, the security concerns have grown tremendously. Hence, it is imperative for one to be able to safeguard one's property from worldly harms such as thefts, destruction of property, people with malicious intent etc. Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing have been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication, it is now possible to monitor and control the environment to the advantage of the owners of the property. The latest technologies used in the fight against thefts and destruction are the video surveillance and monitoring. By using the technologies, it is possible to monitor and capture every inch and second of the area in interest. However, so far, the technologies used are passive in nature, i.e., the monitoring systems only help in detecting the crime but do not actively participate in stopping or curbing the crime while it takes place. Therefore, we have developed a methodology to detect the motion in a video stream environment and this is an idea to ensure that the monitoring systems not only actively participate in stopping the crime, but do so while the crime is taking place. Hence, a system is used to detect any motion in a live streaming video.

Dependencies

• OpenCV 2

• imutils

Output