Most of the pedestrian detection methods are based on hand-crafted features which produce low accuracy on complex scenes. With the development of deep learning method, pedestrian detection has achieved great success. In this paper, we take advantage of a convolutional neural network which is based on Fast R-CNN framework to extract robust pedestrian features for efficient and effective pedestri...

usually staggered to separate the two crossings as shown in Figure 2. Staggered crossings are designed to force pedestrians to face the upcoming traffic and to avoid the confusion that pedestrians may see the further pedestrian signal indication when they are supposed to follow the first-stage signal. Staggered crossings are implemented widely in the United Kingdom and Japan and are recommended...

For many pedestrian detectors, background vs. foreground errors heavily influence the detection quality. Our main contribution is to design semantic regions of interest that extract the foreground target roughly to reduce the background vs. foreground errors of detectors. First, we generate a pedestrian heat map from the input image with a full convolutional neural network trained on the Caltec...

This article presents a shape extraction and results of a preliminary validation stage for a pedestrian detection system based on the use of active contours. The complete system is based on the use of both far infrared and visible cameras to detect areas that potentially contain pedestrians; in order to validate and filter such result a refinement of the human shape by means of active contours ...

This research paper lays stress on philosophies of human desire. All the human being has some psychical need in addition to physical needs. And to satisfy the psychical needs, there is a need for stimulants, more in case of exclusive pedestrian precincts. Having exclusively Pedestrian precincts/Cores in city design draws its inspiration from the fact that public zones, accessible to majority of...

ABSTRACT A vibrant and commercially active center is often the result of interesting, diverse building styles and or built-forms, pedestrian density along with variety of quality public places where people feel comfortable, spending time and shopping items for domestic and commercial functions in cities like Addis Ababa. The scale and design of buildings, pedestrian density, and other phy...

With the rapid improvement of geospatial data acquisition and processing techniques, a variety of geospatial databases from public or private organizations have become available. Quite often, one dataset may be superior to other datasets in one, but not all aspects. In Germany, for instance, there were three major road network vector data, viz. Tele Atlas (which is now “TOMTOM”), NAVTEQ (which ...

We have designed an inexpensive intelligent pedestrian counting system. The pedestrian counting system consists of several counters that can be connected together in a distributed fashion and communicate over the wireless channel. The motion pattern is recorded using a set of passive infrared (PIR) sensors. Each counter has one wireless sensor node that processes the PIR sensor data and transmi...

Predicting how changes to the urban environment will affect town centre vitality, mediated as pedestrian flows, is important for environmental, social and economic sustainability. This study is a longitudinal investigation of before and after urban environmental change in a town centre and its association with vitality. The case study baseline is Cardiff town centre in 2007, prior and after maj...