Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Since thermal images represent only the temperature difference beten objects and background and they have more blurred edges than color images, the segmented images from them have noisy object boundaries. Therefore, the ll-known features developed for color images may not work ll with thermal images. To overcome these limitations of thermal images,  propose a novel feature extraction method based on the target trait context (TTC). A robust keypoint detector is also proposed by analyzing the included angle moments of the object boundary points. At each keypoint,  define the boundary shape context and the normalized intensity context, which contain shape information and thermal distribution, respectively, of the object. These two contexts are combined to form a new feature set, the TTC. To validate our proposed feature extraction method, the keypoint repeatability test and the classification performance test re performed and compared with those from the previous methods. The experiment results show that the proposed feature works ll for thermal video sequences and outperforms the previous methods in classification performance.
['DongWon Yang', 'HyunWook Park']
I am writing a research paper on a idea A New Shape Feature for Vehicle Classification in Thermal Video Sequences
[{"from": "human", "value": "I am writing a research paper on a idea A New Shape Feature for Vehicle Classification in Thermal Video Sequences"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Since thermal images represent only the temperature difference beten objects and background and they have more blurred edges than color images, the segmented images from them have noisy object boundaries. Therefore, the ll-known features developed for color images may not work ll with thermal images. To overcome these limitations of thermal images,  propose a novel feature extraction method based on the target trait context (TTC). A robust keypoint detector is also proposed by analyzing the included angle moments of the object boundary points. At each keypoint,  define the boundary shape context and the normalized intensity context, which contain shape information and thermal distribution, respectively, of the object. These two contexts are combined to form a new feature set, the TTC. To validate our proposed feature extraction method, the keypoint repeatability test and the classification performance test re performed and compared with those from the previous methods. The experiment results show that the proposed feature works ll for thermal video sequences and outperforms the previous methods in classification performance."}]