1. Multiple drones deployed on flight paths to obtain video of sharks and non-sharks over several weeks in target area. Use same camera as for final detection system, and at same altitude absl. Polarising filter?

2. Label positive (sharks) and negative (e.g. dolphins, boats) objects in video (e.g. using Vatic) with bounding boxes and annotations

3. Apply feature extractor (HOG) to positive and negative samples -> giving descriptive feature vector for classifier. You can combine Colour Histogram and HOG. It would be likely to transform to HSV colour space?

4. Train classifier e.g. Support Vector Machine (SVM) with a linear function kernel using the obtained feature vector dataset. Obviously can use other classifiers.

5. Implement active learning iteration

6. Test classifier