Comput Methods Programs Biomed - Fall detection for multiple pedestrians using depth image processing technique.

Tópicos

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Resumo

A fall detection method based on depth image analysis is proposed in this paper. As different from the conventional methods, if the pedestrians are partially overlapped or partially occluded, the proposed method is still able to detect fall events and has the following advantages: (1) single or multiple pedestrian detection; (2) recognition of human and non-human objects; (3) compensation for illumination, which is applicable in scenarios using indoor light sources of different colors; (4) using the central line of a human silhouette to obtain the pedestrian tilt angle; and (5) avoiding misrecognition of a squat or stoop as a fall. According to the experimental results, the precision of the proposed fall detection method is 94.31% and the recall is 85.57%. The proposed method is verified to be robust and specifically suitable for applying in family homes, corridors and other public places.

Resumo Limpo

fall detect method base depth imag analysi propos paper differ convent method pedestrian partial overlap partial occlud propos method still abl detect fall event follow advantag singl multipl pedestrian detect recognit human nonhuman object compens illumin applic scenario use indoor light sourc differ color use central line human silhouett obtain pedestrian tilt angl avoid misrecognit squat stoop fall accord experiment result precis propos fall detect method recal propos method verifi robust specif suitabl appli famili home corridor public place

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