This paper presents a Convolutional Neural Network (CNN) approach for counting and locating objects in high-density imagery. To the best of our knowledge, this is first object method based on feature map enhancement Multi-Stage Refinement confidence map. The proposed was evaluated two datasets: tree car. For dataset, returned mean absolute error (MAE) 2.05, root-mean-squared (RMSE) 2.87 coeffic...

Traffic situation awareness is the key factor for intelligent transportation systems (ITS) and smart city. Short-term traffic flow prediction one of challenging tasks awareness, which useful route planning, congestion alleviation, emission reduction, so on. Over past few years, ubiquitous location acquisition techniques sensors digitized road networks generated spatiotemporal data. Massive data...