Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an algorithm for robust and real-time visual tracking under challenging illumination conditions characterized by poor lighting as ll as sudden and drastic changes in illumination. Robustness is achieved by adapting illumination-invariant binary descriptors to dense image alignment using the Lucas and Kanade algorithm. The proposed adaptation preserves the Hamming distance under least-squares minimization, thus preserving the photometric invariance properties of binary descriptors. Due to the compactness of the descriptor, the algorithm runs in excess of 400 fps on laptops and 100 fps on mobile devices.
['Hatem Alismail', 'Brett Browning', 'Simon Lucey']
I am writing a research paper on a idea Robust Tracking in Low Light and Sudden Illumination Changes
[{"from": "human", "value": "I am writing a research paper on a idea Robust Tracking in Low Light and Sudden Illumination Changes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an algorithm for robust and real-time visual tracking under challenging illumination conditions characterized by poor lighting as ll as sudden and drastic changes in illumination. Robustness is achieved by adapting illumination-invariant binary descriptors to dense image alignment using the Lucas and Kanade algorithm. The proposed adaptation preserves the Hamming distance under least-squares minimization, thus preserving the photometric invariance properties of binary descriptors. Due to the compactness of the descriptor, the algorithm runs in excess of 400 fps on laptops and 100 fps on mobile devices."}]