Pedestrian Detection on Mobile Devices
نویسنده
چکیده
منابع مشابه
Towards a Practical Pedestrian Distraction Detection Framework using Wearables
Pedestrian safety continues to be a significant concern in urban communities and pedestrian distraction is emerging as one of the main causes of grave and fatal accidents involving pedestrians. The advent of sophisticated mobile and wearable devices, equipped with high-precision on-board sensors capable of measuring fine-grained user movements and context, provides a tremendous opportunity for ...
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—The pedestrian inertial navigation systems are generally based on Pedestrian Dead Reckoning (PDR) algorithm. Considering the physiological characteristics of pedestrian movement, we use the cyclical characteristics and statistics of acceleration waveform and features which are associated with the walking speed to estimate the stride length. Due to the randomness of the pedestrian hand-held ha...
متن کاملThe hazards of pedestrian mobile-phone use when crossing signalized intersections, Iran (2017); an observational study
Background: Distracted walking is a major cause of pedestrian fatalities. Along with the expansion and popularity of mobile phones, their impacts on pedestrian safety, especially when crossing urban intersections have attracted a lot of attention. The purpose of this study is to evaluate the effects of mobile-phone use on pedestrians’ crossing behavior when passing signalized intersections. Ma...
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Across a majority of pedestrian detection datasets, it is typically assumed that pedestrians will be standing upright with respect to the image coordinate system. This assumption however, is not always valid for many visionequipped mobile platforms such as mobile phones, UAVs or construction vehicles on rugged terrain. In these situations, the motion of the camera can cause images of pedestrian...
متن کاملCombination of Fixed and Mobile Cameras for Automatic Pedestrian Detection
Pedestrian detection in the surroundings of a vehicle is highly desirable to avoid dangerous traffic situations. Typical vision-based pedestrian detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. The variability in the shape, pose, color distribution, and behavior affect the robustness of the detection process. A novel vision-based sy...
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