In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance cues.
This paper presents a pedestrian detection and tracking algorithm using shape and appearance cues based on a layered representation of infrared imagery.
Two different automated video surveillance techniques for detection and tracking of pedestrians based on fusion of colour and thermal images are examined, ...
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Feb 21, 2020 · Bibliographic details on Pedestrian detection and tracking in infrared imagery using shape and appearance.
This paper introduces a layered representation for infrared imagery and studies its application into pedestrian detection and tracking.
In infrared images pedestrians belong to the upper range in the grey-level. Therefore, detects the core (especially face) of a head using the P-tile method. In ...
We find out that it is possible to get detection performance in IR images that is comparable to state-of-the-art results for visible spectrum images.
This paper introduces a layered representation for infrared imagery and studies its application into pedestrian detection and tracking.
In this paper, a robust approach using a shape distribution histogram (SDH) feature and modified sparse representation classification (MSRC) for pedestrian ...
Generally, pedestrians appear brighter (or darker) than the surrounding background in thermal imagery. Figure 3a presents an example of pedestrians from a top- ...