39 天前 - … networks. In order to lay a solid foundation for future … developing convolutional
neural network-based crowd- counting … changing image scales can partially fix diverse-crowd …

104 天前 - … It focuses on a type of technology called convolutional neural networks. This change
has made crowd … We evaluate deep learningbased approaches to crowd counting and …

202 天前 - … of inspiration, a spark for paradigmshifting revolutions, and the sole sustaining
source of cultural thirst for hundreds of millions of people over many generations. Unfortunately, …

217 天前 - … measured by a step counter utilizing the smartphone's built-in Inertial Measurement
Unit (IMU). However, it is difficult to calculate the exact distance change in the smartphone-…

231 天前 - … convolution neural network (OCNN), where the layer and hyperparameters of
OCNN are optimally derived using Gradient Chef Based Optimization (GCBO). The proposed …

241 天前 - … to environment change and other risks. Accurate … , we propose a deep neural network
based crowd counting method, … By formatting manatee counting as a deep neural network …

241 天前 - … The proposed model can handle crowd shape change due to perspective … a crowd
counting solution via de-background multicolumn dynamic convolutional neural networks to …

250 天前 - … Convolutional Neural Network (CNN) has become the mainstream method of crowd
counting … to adaptively change weights in the four-dimensions of convolutional, extract the …

250 天前 - … convolutional algorithm was designed to adaptively change weights in the four-dimensions
of convolutional… with the challenge of counting and positioning difficulties caused by …

263 天前 - … However, the fixed-size convolutional kernels of traditional methods make it … change
and complex background interference. In this regard, we propose a hybrid crowd counting …