Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In recent years, local pattern based object detection and recognition have attracted increasing interest in computer vision research community. Hover, to our best knowledge no previous work has focused on utilizing local patterns for the task of human detection.   develop a novel human detection system in personal albums based on LBP (local binary pattern) descriptor. Firstly  review the existing gradient based local features widely used in human detection, analyze their limitations and argue that LBP is more discriminative. Secondly, original LBP descriptor does not suit the human detecting problem ll due to its high complexity and lack of semantic consistency, thus  propose two variants of LBP: Semantic-LBP and Fourier-LBP. Carefully designed experiments demonstrate the superiority of LBP over other traditional features for human detection. Especially  adopt a random ensemble algorithm for better comparison beten different descriptors. All experiments are conducted on INRIA human database.
['Yadong Mu', 'Shuicheng Yan', 'Yi Liu', 'Thomas S. Huang', 'Bingfeng Zhou']
I am writing a research paper on a idea Discriminative local binary patterns for human detection in personal album
[{"from": "human", "value": "I am writing a research paper on a idea Discriminative local binary patterns for human detection in personal album"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In recent years, local pattern based object detection and recognition have attracted increasing interest in computer vision research community. Hover, to our best knowledge no previous work has focused on utilizing local patterns for the task of human detection.   develop a novel human detection system in personal albums based on LBP (local binary pattern) descriptor. Firstly  review the existing gradient based local features widely used in human detection, analyze their limitations and argue that LBP is more discriminative. Secondly, original LBP descriptor does not suit the human detecting problem ll due to its high complexity and lack of semantic consistency, thus  propose two variants of LBP: Semantic-LBP and Fourier-LBP. Carefully designed experiments demonstrate the superiority of LBP over other traditional features for human detection. Especially  adopt a random ensemble algorithm for better comparison beten different descriptors. All experiments are conducted on INRIA human database."}]