Research Article
Energy-Efficient Unmanned Aerial Vehicle (UAV) Surveillance Utilizing Artificial Intelligence (AI)
Input: Two consecutive frames, t and t+k, of the input video. | Output: Motion area in each frame. | 1. The video is segmented into frames, (consider each frame as an image). | 2. Two images / frames (A & B) that is background modeled and frame t | 3. Converting the images A & B into gray scale. | 4. Computing a difference between these two gray scale images. | 5. If, significant difference is detected between these A & B frames, it can conclude that some motion has occurred. |
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