Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Person re-identification is one of the most critical tasks in the field of computer vision and has widely applications for abnormal detection and object retrieval in video surveillance. ,  give an extensive comparison for different kinds of visual features including hand-craft features and Convolutional Neural Networks (CNN) features.  run the experiments on three public dataset CASIA, Market1501 and CUHK03. Through A detail comparison and analysis on different features with different similarity measures,  find Colorhistogram and ScalableColor features are most robust to occlusion on CASIA, while GoogleNet and VG-GNet features have good robustness as ll. For all single features, GoogleNet feature achieves the highest results on Market1501 and CUHK03. For feature fustion, GoogleNet feature with ColorStructure achieve the best result on Market1501 and GoogleNet feature wth Colorhistogram achieve the best result on CUHK03. For similarity measure, Cosine distance is evaluated to be the best one in our experiments.
['Guanzhong Wang', 'Yikai Fang', 'Jinqiao Wang', 'Jian Sun']
I am writing a research paper on a idea Extensive Comparison of Visual Features for Person Re-identification
[{"from": "human", "value": "I am writing a research paper on a idea Extensive Comparison of Visual Features for Person Re-identification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Person re-identification is one of the most critical tasks in the field of computer vision and has widely applications for abnormal detection and object retrieval in video surveillance. ,  give an extensive comparison for different kinds of visual features including hand-craft features and Convolutional Neural Networks (CNN) features.  run the experiments on three public dataset CASIA, Market1501 and CUHK03. Through A detail comparison and analysis on different features with different similarity measures,  find Colorhistogram and ScalableColor features are most robust to occlusion on CASIA, while GoogleNet and VG-GNet features have good robustness as ll. For all single features, GoogleNet feature achieves the highest results on Market1501 and CUHK03. For feature fustion, GoogleNet feature with ColorStructure achieve the best result on Market1501 and GoogleNet feature wth Colorhistogram achieve the best result on CUHK03. For similarity measure, Cosine distance is evaluated to be the best one in our experiments."}]