In this paper, we present a machine learning classifier which is used for pedestrian detection
based on XGBoost. Our approach, the Genetic Algorithm is introduced to optimize the …

Pyroelectricity enables autonomous perception and remote detection in the field of infrared
sensor, human machine interfacing and virtual reality. However, the low pyroelectric …

The use of advanced driver assistance systems is becoming increasingly common in road‐
going vehicles. One application of these driver assistance systems is in the automated …

Most of the commercial nighttime pedestrian detection (PD) methods reported previously
utilized the histogram of oriented gradient (HOG) or the local binary pattern (LBP) as the …

Pedestrian-related accidents are much more likely to occur during nighttime when visible
(VI) cameras are much less effective. Unlike VI cameras, infrared (IR) cameras can work in …

Haar-Cascade classifier method has been applied to detect the presence of a human on the
thermal image. The evaluation was done on the performance of detection, represented by its …

There are several techniques for the performance of energy studies in buildings, where
infrared thermography is widely used for the study of the composition of the envelopes, to …

Night time pedestrian detection is more and more important in advanced driver assistant
systems (ADAS). Traditional pedestrian detection algorithms in far infrared (FIR) images lack …

Sudden pedestrian crossing (SPC) is the major reason for pedestrian-vehicle crashes. In
this paper, we focus on detecting SPCs at night for supporting an advanced driver …

Real-time and reliable detection of conveyor belt longitudinal tear is an important task in
mining operations. This paper presents a novel method of Integrative Binocular Vision …