Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a technique for real-time crowd density estimation based on textures of crowd images. In this technique, the current image from a sequence of input images is classified into a crowd density class. Then, the classification is corrected by a low-pass filter based on the crowd density classification of the last n images of the input sequence. The technique obtained 73.89% of correct classification in a real-time application on a sequence of 9892 crowd images. Distributed processing was used in order to obtain real-time performance.
['Aparecido Nilceu [Unesp] Marana', 'Marcos Antonio Cavenaghi', 'Roberta Spolon Ulson', 'Fernandes Drumond']
I am writing a research paper on a idea Real-Time crowd density estimation using images
[{"from": "human", "value": "I am writing a research paper on a idea Real-Time crowd density estimation using images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a technique for real-time crowd density estimation based on textures of crowd images. In this technique, the current image from a sequence of input images is classified into a crowd density class. Then, the classification is corrected by a low-pass filter based on the crowd density classification of the last n images of the input sequence. The technique obtained 73.89% of correct classification in a real-time application on a sequence of 9892 crowd images. Distributed processing was used in order to obtain real-time performance."}]