Southeast University

Nanjing Agricultural University

Yao Wu

Pei Liu

Hongliang Ding

Pan Liu

Yanyong Guo

Xiaolei Zhang

Yinyan Shi

Weimin Li

Dezhi Wang

Naimin Xu

The present disclosure provides a juvenile fish limb identification method based on a multi-scale cascaded perceptual convolutional neural network. The method includes the following steps: acquiring a video sequence of a juvenile fish, dividing a fish body into five non-overlapping parts, performing semantic annotation on the five non-overlapping parts, and taking the five non-overlapping parts as an input of the multi-scale cascaded perceptual convolutional neural network; and using a convolutional layer as a feature extractor, performing feature extraction on an input image containing the annotation of each limb, inputting extracted features into an Attention-region proposal network (RPN) structure, determining a category of each pixel, and generating a limb mask of each limb category using a multi-scale cascade method. According to the method, the limbs of the juvenile fish can be efficiently and accurately identified, and technical support is provided for posture quantification of the juvenile fish.

Juvenile fish limb identification method based on multi-scale cascaded perceptual convolutional neural network

The present invention discloses a method and system for evaluating road safety based on multi-dimensional influencing factors, and relates to the field of road safety technologies. Based on historical traffic data and corresponding safety influencing factors, safety evaluation models in different dimensions are respectively constructed, and road safety risk exposure is classified flexibly. The safety evaluation models in macro and micro dimensions are linked by using a constraint function, and influence mechanisms of the safety influencing factors are determined respectively. Specifically, a safety evaluation model is constructed and obtained for each sub-region in a limited region range. The safety evaluation model is applied to obtain influencing factors of safety of each traffic road in the sub-region, and safety evaluation is performed on the sub-region. Through the technical solutions of the present invention, an accurate, comprehensive, objective method for evaluating road safety that reflects authentic influence data is provided, which has a wider application scope.

Method and system for evaluating road safety based on multi-dimensional influencing factors

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Nanjing, China

Yao Wu