Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  address the problem of automatic object classification for traffic scene surveillance, which is very challenging for the low resolution videos, large intra-class variations and real-time requirement. ,  propose a new strategy for object classification by boosting different local feature descriptors in motion blobs.  not only evaluate the performance of each local feature descriptor, but also fuse these descriptors to achieve better performance. Numerous experiments are conducted and experimental results demonstrate the effectiveness and efficiency of our approach with robustness to noise and variance of view angles, lighting conditions and environments.
['Zhaoxiang Zhang', 'Min Li', 'Kaiqi Huang', 'Tieniu Tan']
I am writing a research paper on a idea Boosting local feature descriptors for automatic objects classification in traffic scene surveillance
[{"from": "human", "value": "I am writing a research paper on a idea Boosting local feature descriptors for automatic objects classification in traffic scene surveillance"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  address the problem of automatic object classification for traffic scene surveillance, which is very challenging for the low resolution videos, large intra-class variations and real-time requirement. ,  propose a new strategy for object classification by boosting different local feature descriptors in motion blobs.  not only evaluate the performance of each local feature descriptor, but also fuse these descriptors to achieve better performance. Numerous experiments are conducted and experimental results demonstrate the effectiveness and efficiency of our approach with robustness to noise and variance of view angles, lighting conditions and environments."}]