Real-Time Human Detection Using Hierarchical HOG Matrices

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography

Efficient HOG human detection

While Histograms of Oriented Gradients (HOG) plus Support Vector Machine (SVM) (HOG+SVM) is the most successful human detection algorithm, it is time-consuming. This paper proposes two ways to deal with this problem. One way is to reuse the features in blocks to construct the HOG features for intersecting detection windows. Another way is to utilize sub-cell based interpolation to efficiently c...

Real-time damage detection of bridges using adaptive time-frequency analysis and ANN

Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...

Human Detection with HoG Algorithm

In this project, based on Histograms of Oriented Gradients (HOG) feature extraction algorithm, the DSP system for imager system detecting humans for autonomous vehicle will be implementing. This object-of-interest (OOI) imaging system provide image information with wide field of view, which could cover the field of view where driver could recognized. By adapting this technique, our system will ...

Pedestrian detection using HoG features

Human Detection in Images is a contemporary Computer Vision problem, still welcoming improved solutions. This subset area of object detection has seen many attempts made towards efficient implementation and in this project proposal we describe one based on Histogram of Oriented Gradients which proves to be superior than the rest in terms of both Detection rate and Error rate when using a Linear...