In Part I and II, we examined how we would be able to search Speech and Text inside videos. In Part III, we will look at one of the first names given to videos – “Motion” Picture.
So, all videos have motion? That may not be true, not all videos have motion (or movement) all the time, especially in the case of security and surveillance videos.
Detecting motion in videos enables you to efficiently identify sections of interest within an otherwise long and uneventful video. That might sound simple with a single video, but what if you have 10,000 hours of videos to review every night? That’s a near impossible task to eyeball every video minute.
Motion detection can be used on static camera footage to identify sections of the video where motion occurs.
- Detect when motion has occurred in videos with stationery backgrounds
- Eliminate false positives caused because of light changes, shadows, small insects, and others
While there are motion sensors that can detect motion real-time, these systems tend to be expensive. Thus, the reason why most of the CCTV surveillance systems only does recording at best. Therefore, there are many scenarios that does not require real-time motion detection, like detecting a car entering a bus lane during peak hours.
Current technology has come to a point where it is able to differentiate between real motion (such as a person walking into a room), and false positives (such as leaves in the wind, along with shadow or light changes). This allows you to generate security alerts from camera feeds without being spammed with endless irrelevant events, while being able to extract moments of interest from extremely long surveillance videos.