In this paper, we propose a pedestrian detection algorithm based on both appearance and motion features to achieve high detection accuracy when applied to complex scenes. Here, a pedestrian’s appearance is described by a histogram of oriented spatial gradients, and his/her motion is represented by another histogram of temporal gradients computed from successive frames. Since pedestrians typical...

Automatic detection of the pedestrian lane in a scene is an important task in assistive and autonomous navigation. This paper presents a vision-based algorithm for pedestrian lane detection in unstructured scenes, where lanes vary significantly in color, texture, and shape and are not indicated by any painted markers. In the proposed method, a lane appearance model is constructed adaptively fro...

Robust vision-based pedestrian detection is a crucial feature of future autonomous systems. Thermal cameras provide an additional input channel that helps solving this task and deep convolutional networks are the currently leading approach for many pattern recognition problems, including object detection. In this paper, we explore the potential of deep models for multispectral pedestrian detect...

This paper focuses on real-time pedestrian detection using the Histograms of Oriented Gradients (HOG) feature descriptor algorithm in combination with a Linear Support Vector Machine (LSVM) on a Field Programmable Gate Array (FPGA). Pedestrian detection on embedded systems is a challenging problem since accurate recognition requires extensive computation. To achieve real-time pedestrian recogni...

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...

This paper proposes a novel vision based multi-pedestrian tracking scheme in crowded scenes, which are very common in real-world applications. The major challenge of the multi-pedestrian tracking problem comes from complicated occlusions, cluttered or even changing background. We address these issues by creatively combining state-of-the-art pedestrian detectors and clustering algorithms. The co...

Studies on microscopic pedestrian requires large amounts of trajectory data from real-world pedestrian crowds. Such data collection, if done manually, needs tremendous effort and is very time consuming. Though many studies have asserted the possibility of automating this task using video cameras, we found that only a few have demonstrated good performance in very crowded situations or from a to...