Computer Vision (CV) domain is widely used in the current era of automation and visual
surveillance for the detection and classification of different objects in a diverse environment …

Video object and human action detection are applied in many fields, such as video
surveillance, face recognition, etc. Video object detection includes object classification and …

Hyperspectral Image (HSI) has become one of the important remote sensing sources for
object interpretation by its abundant band information. Among them, band selection is …

Pedestrian detection is an established instance of computer vision task. Pedestrian
detection from the color images has achieved robust performance but in the night time or in …

Feature-based pedestrian detection method is currently the mainstream direction to solve
the problem of pedestrian detection. In this kind of method, whether the appropriate feature …

This paper presents an experimental evaluation of real-time pedestrian detection algorithms
and their tuning using the proposed universal performance index. With this index, the …

The main aim of the series is to make available a publication of books in hard copy form and
soft copy form on all aspects of learning, analytics and advanced intelligent systems and …

Although the kernel support vector machine (SVM) outperforms linear SVM, its application to
real world problems is limited because the evaluation of its decision function is …

This paper proposes an improved pedestrian detection algorithm, the Haar-like feature and
Adaboost cascade classifier Histogram of Oriented Gradient (HOG) feature are utilizing to …

This paper proposes a scale-invariant histogram of oriented gradients (SI-HOG) for
pedestrian detection. Most of the algorithms for pedestrian detection use the HOG as the …