{'fraction_non_alphanumeric': 0.023474178403755867, 'fraction_numerical': 0.0, 'mean_word_length': 5.7207207207207205, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Isolating resolution enhancement on moving objects in a video sequence

Resolution enhancement in video sequences can involve a variety of enhancement techniques including deinterlacing, de-blurring, motion compensation, super-resolution and more. Depending on the video artifacts, techniques are chosen and applied to each frame in the video. The selected technique(s) is/are then applied to each complete video frame. This paper suggests using resolution improvement techniques, not on the complete frame, but only on specific moving vehicles within the frame. Using improved resolution only on the vehicles being tracked offers the possibility for improved local vehicle identification and enhancement to the near real-time vehicle tracking approaches. Additionally, the approach can save the computational cost associated with complete image frame enhancement. The paper develops a spatial-temporal deinterlaced resolution-ratio enhanced approach to a vehicle being tracked. For deinterlacing, this paper uses a variant of a recent new spatial-temporal technique which uses directional interpolation and motion compensation. The technique uses intra-field spatial and inter-field temporal interpolation. The suggested algorithm is demonstrated on a few video sequences and shows promise for near real-time application. The final processing result integrates targets through feature tracking creating the psychophysical "popout" effect with a higher target-to-background resolution ratio.