Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Personnel detection at border crossings has become an important issue recently. To reduce the number of false alarms, it is important to discriminate beten humans and four-legged animals.  proposes using enhanced summary autocorrelation patterns for feature extraction from seismic sensors, a multi-stage exemplar selection framework to learn acoustic classifier, and temporal patterns from ultrasonic sensors.  compare the results using decision fusion with Gaussian Mixture Model classifiers and feature fusion with Support Vector Machines. From experimental results,  show that our proposed methods improve the robustness of the system.
['Po-Sen Huang', 'Thyagaraju Damarla', 'Mark Hasegawa-Johnson']
I am writing a research paper on a idea Multi-sensory features for personnel detection at border crossings
[{"from": "human", "value": "I am writing a research paper on a idea Multi-sensory features for personnel detection at border crossings"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Personnel detection at border crossings has become an important issue recently. To reduce the number of false alarms, it is important to discriminate beten humans and four-legged animals.  proposes using enhanced summary autocorrelation patterns for feature extraction from seismic sensors, a multi-stage exemplar selection framework to learn acoustic classifier, and temporal patterns from ultrasonic sensors.  compare the results using decision fusion with Gaussian Mixture Model classifiers and feature fusion with Support Vector Machines. From experimental results,  show that our proposed methods improve the robustness of the system."}]