Crowd Density Estimation Based on Multi-Column Hybrid Convolutional Network
نویسندگان
چکیده
منابع مشابه
Age Estimation Based on Multi-Region Convolutional Neural Network
As one of the most important biologic features, age has tremendous application potential in various areas such as surveillance, human-computer interface and video detection. In this paper, a new convolutional neural network, namely MRCNN (Multi-Region Convolutional Neural Network), is proposed based on multiple face subregions. It joins multiple face subregions together to estimation age. Each ...
متن کاملDensity Estimation for Geolocation via Convolutional Mixture Density Network
Nowadays, geographic information related to Twitter is crucially important for fine-grained applications. However, the amount of geographic information available on Twitter is low, which makes the pursuit of many applications challenging. Under such circumstances, estimating the location of a tweet is an important goal of the study. Unlike most previous studies that estimate the pre-defined dis...
متن کاملAge Estimation by Multi-scale Convolutional Network
In the last five years, biologically inspired features (BIF) always held the state-of-the-art results for human age estimation from face images. Recently, researchers mainly put their focuses on the regression step after feature extraction, such as support vector regression (SVR), partial least squares (PLS), canonical correlation analysis (CCA) and so on. In this paper, we apply convolutional ...
متن کاملAirborne Crowd Density Estimation
This paper proposes a new method for estimating human crowd densities from aerial imagery. Applications benefiting from an accurate crowd monitoring system are mainly found in the security sector. Normally crowd density estimation is done through in-situ camera systems mounted on high locations although this is not appropriate in case of very large crowds with thousands of people. Using airborn...
متن کاملCrowd Density Estimation Based on ELM learning algorithm
Crowd density estimation in public areas with people gathering and waiting is the important content of intelligent crowd surveillance. A real-time and high accuracy algorithm is necessary to be inputted in the classification and regression of crowd density estimation to improve the speed and increase the efficiency. Extreme Learning Machine (ELM) is a neural network architecture in which hidden...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1828/1/012025