Nighttime Foreground Pedestrian Detection Based on Three-Dimensional Voxel Surface Model
نویسندگان
چکیده
منابع مشابه
Nighttime Foreground Pedestrian Detection Based on Three-Dimensional Voxel Surface Model
Pedestrian detection is among the most frequently-used preprocessing tasks in many surveillance application fields, from low-level people counting to high-level scene understanding. Even though many approaches perform well in the daytime with sufficient illumination, pedestrian detection at night is still a critical and challenging problem for video surveillance systems. To respond to this need...
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15 صفحه اولPedestrian Detection and Tracking Using Three-Dimensional LADAR Data
The approach investigated in this work employs three-dimensional LADAR measurements to detect and track pedestrians over time. The sensor is employed on a moving vehicle. The algorithm quickly detects the objects which have the potential of being humans using a subset of these points, and then classifies each object using statistical pattern recognition techniques. The algorithm uses geometric ...
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Most of the commercial nighttime pedestrian detection (PD) methods reported previously utilized the histogram of oriented gradient (HOG) or the local binary pattern (LBP) as the feature and the support vector machine (SVM) as the classifier using thermal camera images. In this paper, we propose a new feature called the thermal-position-intensity-histogram of oriented gradient (TPIHOG or T π HOG...
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ژورنال
عنوان ژورنال: Sensors
سال: 2017
ISSN: 1424-8220
DOI: 10.3390/s17102354