This paper proposes an improved method for pedestrian detection using an Attitude Measurement Unit (AMU) in conjunction with multi-slit data. During the next decade, on-board pedestrian detection systems will play a key role in the challenge of increasing traffic safety. The main goal of these systems, to detect pedestrians in urban scenarios, involves overcoming difficulties like processing ou...

Many works address the problem of object detection by means of machine learning with boosted classifiers. They exploit sliding window search, spanning the whole image: the patches, at all possible positions and sizes, are sent to the classifier. Several methods have been proposed to speed up the search (adding complementary features or using specialized hardware). In this paper we propose a sta...

Smile detection is a sub-problem of facial expression recognition field, which has attracted more and more interests from researchers because of its wide application market. As for smile detection problem itself, the ‘wild’ unconstrained scenario is more challenging than the laboratory constrained scenario. Therefore, in this paper, we mainly focus on solving smile detection problem in unconstr...

In this paper, we propose an interesting and novel method for computing the image features that are useful for object detection. The method is interesting and novel in the terms of the feature vector dimensionality and object information capturing. In the proposed method, the areas of objects (that contain the important information useful for recognition) are described by the distribution of en...

During the last decade, modern Pedestrian Detection Systems made massive use of the steadily growing numbers of high-performance image acquisition sensors. Within our naturalistic driving environment, a lot of different and heterogeneous scenes occur that are caused by varying illumination and weather conditions. Unfortunately, current systems do not work properly under these hardened condition...

Automated vehicle counting technology has been in use for many years, but developments in automated pedestrian counting technology have been limited. Pedestrians are more difficult to detect, track and count because their paths are much less constrained. In this paper, we present an advanced pedestrian counting system using a stereo camera and a laser scanner. A mapping algorithm has been devel...

As a special type of object detection, pedestrian detection in generic scenes has made a significant progress trained with large amounts of labeled training data manually. While the models trained with generic dataset work bad when they are directly used in specific scenes. With special viewpoints, flow light and backgrounds, datasets from specific scenes are much different from the datasets fr...