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What algorithm would be optimal in this situation?

Please suggest what algorithms/tutorials/ how can I achieve the following steps:

  1. Extract features from a high-quality image on the web.
  2. Transform into a .xml or .dat file.
  3. Port file to an ARM, ios or android.
  4. Obtain video frames
  5. Apply image recognition, feature extraction etc. to detected object
  6. Get coordinates of objects on every frame scanned Out of scope of openCV but maybe someone can help:
  7. Render a video on top of the coordinates

What algorithm would be optimal in this situation?

Please suggest what algorithms/tutorials/ how can I achieve the following steps:

  1. Extract features from a (one) high-quality image on the web.
  2. Transform into a .xml or .dat file.
  3. Port file to an ARM, ios or android.
  4. Obtain video frames
  5. Apply image recognition, feature extraction etc. to detected object
  6. Get coordinates of objects on every frame scanned Out of scope of openCV but maybe someone can help:
  7. Render a video on top of the coordinates