Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A method based on hidden Markov models is described capable of dealing with severe part occlusions in different object recognition situations. Occlusion is dealt with separating shapes into parts through high curvature points, tangent angle signatures for each part and continuous wavelet transform for signatures. A hidden Markov model is created for each probable class in an ensemble trained with database objects from each class example. A strategy for search space sorting and stopping criterion are introduced to enhance retrieval performance of hypotheses from the database. The influence of sorting with proposed method is analysed to reduce recognition time on MPEG-7 and CMU KO datasets. Results shod the method not only was capable of identifying highly occluded shapes but also has relevant advantages over typical non-sorting approaches, reducing significantly the search for best hypotheses while keeping high recognition rates.
['F. A. Guerrero-Peña', 'Germano C. Vasconcelos']
I am writing a research paper on a idea Search-space sorting with hidden Markov models for occluded object recognition
[{"from": "human", "value": "I am writing a research paper on a idea Search-space sorting with hidden Markov models for occluded object recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A method based on hidden Markov models is described capable of dealing with severe part occlusions in different object recognition situations. Occlusion is dealt with separating shapes into parts through high curvature points, tangent angle signatures for each part and continuous wavelet transform for signatures. A hidden Markov model is created for each probable class in an ensemble trained with database objects from each class example. A strategy for search space sorting and stopping criterion are introduced to enhance retrieval performance of hypotheses from the database. The influence of sorting with proposed method is analysed to reduce recognition time on MPEG-7 and CMU KO datasets. Results shod the method not only was capable of identifying highly occluded shapes but also has relevant advantages over typical non-sorting approaches, reducing significantly the search for best hypotheses while keeping high recognition rates."}]