Our this article is successive of Our Previous Article . In previous article we have talked about generating the video highlight using short term energy approach . But for every video we cannot generate the highlight using that approach because in short term energy approach , we need audio in a video . Many videos like ATM videos or CCTV footage does not have audio .
By using OpenCV we can generate highlight of those videos . Here our objective is to detect human from web camera and make video highlight .
We are using following :
1. Python Programming Language
2. Open CV Library
3. Spyder IDE
4. Inbuilt web camera
Our Approach
1. We are using Haar Cascade Classifier to detect human face from web camera
2. We are writing the camera feed into small clips in which human faces are detecting and ignoring other frames. We are saving those clips into a folder .
3. At last we are merging all our clips to generate highlight .
Our Program is running on following system configuration
1. Intel i7 Processor
2. 8GB Ram
3. Window 8.1
4. OpenCV 4.4.1
5. Spyder 3.3.6
1. We are using Haar Cascade Classifier to detect human face from web camera
2. We are writing the camera feed into small clips in which human faces are detecting and ignoring other frames. We are saving those clips into a folder .
3. At last we are merging all our clips to generate highlight .
Our Program is running on following system configuration
1. Intel i7 Processor
2. 8GB Ram
3. Window 8.1
4. OpenCV 4.4.1
5. Spyder 3.3.6
Good job.. keep it up
ReplyDeleteGood work!! 😊
ReplyDeleteThanks :)
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