Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In modern and innovative videoconference systems and human machine interfaces, localisation techniques play an important role for automatic camera and beamformer steering. Conventional acoustical and visual localisation techniques can be combined to form an audiovisual joint location estimate providing a more robust localisation of the active person. Tracking algorithms such as the ll-known Kalman or extended Kalman filter and also particle filters can serve to further improve the location estimates.  is about a problem-specific SIR particle filtering algorithm applied to an existing audiovisual speaker localisation. The performance of the suggested algorithm will be evaluated using real audiovisual data based on experiments. It turns out that the proposed algorithm is able to improve the audiovisual location estimates.
['Christoph Voges', 'Patrick Bauer', 'Tim Fingscheidt']
I am writing a research paper on a idea A Particle Filtering Algorithm for Audiovisual Speaker Localisation
[{"from": "human", "value": "I am writing a research paper on a idea A Particle Filtering Algorithm for Audiovisual Speaker Localisation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In modern and innovative videoconference systems and human machine interfaces, localisation techniques play an important role for automatic camera and beamformer steering. Conventional acoustical and visual localisation techniques can be combined to form an audiovisual joint location estimate providing a more robust localisation of the active person. Tracking algorithms such as the ll-known Kalman or extended Kalman filter and also particle filters can serve to further improve the location estimates.  is about a problem-specific SIR particle filtering algorithm applied to an existing audiovisual speaker localisation. The performance of the suggested algorithm will be evaluated using real audiovisual data based on experiments. It turns out that the proposed algorithm is able to improve the audiovisual location estimates."}]