Human Behavior Analysis Using Deformable Triangulations

Hsu, Yung-Tai; Hsieh, Jun-Wei; Kao, Hai-Feng; Liao, H.-Y.M.

doi:10.1109/mmsp.2005.248629

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…3D body shape is obtained by multiple cameras that are calibrated in prior. Hsu [10] used deformable triangulations of body shape to classify the postures of people (one class is fall), in which body shape is extracted from depth images.…”

Section: Brief Survey Of Camera-based Fall Detectionmentioning

confidence: 99%

Personalized multimedia alert service of fall event for ageing in place

Kittipanya-ngam

Eng

2009

Proceedings of the First International Conference on Internet Multimedia Computing and Service

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Personalized multimedia alert service of fall event is an important service for ageing in place thanks to it can enhance the life safety of the elderly and then relieve the continuous worrying of the caregivers. This paper presents a personalized alert service of fall event for aging in place based the proposed fall detection algorithm. Our novel algorithm detects falls in sliding windows of video recorded by single fixed camera. The novelty of this algorithm is multiple. First, it acquires 3D information of heads from 2D image locations by looking up a 2D-3D table. Second, it mainly works on sliding windows. In each sliding window, it detects the existences of primitive actions and calculates the measures. Last, it uses a trained SVM to distinguish fall windows from non-fall windows. The inputs to the SVM are the vector consisting of the existences of primitive actions and the calculated measures from sliding windows. The lookup table and measure calculations are achieved with the aid of camera calibration. Experiments show that the proposed algorithm performs well in fall detection. Based on the fall detection we design a personalized multimedia alert service of fall event.

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Section: Brief Survey Of Camera-based Fall Detectionmentioning

confidence: 99%

Personalized multimedia alert service of fall event for ageing in place

Kittipanya-ngam

Eng

2009

Proceedings of the First International Conference on Internet Multimedia Computing and Service

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“…1and 2, we can define a centroid context to describe the characteristics of an arbitrary posture P. To define the centroid context of P, we need to derive a skeleton of P using a graph search. The skeleton extraction method can be found from our previous work [10]. Then, from P, we can get its skeleton P dfs T .…”

Section: Deformable Triangulation Technique For Frame-to-symbol Convementioning

confidence: 99%

“…This paper presents a boosting method for modeling and recognizing actions directly from videos. First of all, we use a triangulation-based method [10] to convert a human action sequence to a set of symbols. Then, a novel hierarchical histogram representation method is proposed to generate a bank of string features for effectively analyzing human actions.…”

Section: Introductionmentioning

confidence: 99%

Boosted string representation and its application to video surveillance

Hsieh

Hsu

2008

Pattern Recognition

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“…The third method of fall detection is based on computer vision, Hsu et al [10] used variable triangles to divide the shape of a human body, extracted two posture features of the bone and the center, and then determined a suitable algorithm for human posture recognition. In view of the head movement obviously when the human body falls, and the head is generally within the visible range, Rougier et al [11] proposed a monocular camera to obtain the 3D motion trajectory of the human head and use it as the basis for human fall detection.…”

Section: Introductionmentioning

confidence: 99%

Elderly Fall Detection Based on Improved SSD Algorithm

Zou¹,

Zhu²,

Ge³

et al. 2021

Journal of New Media

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We propose an improved a single-shot detector (SSD) algorithm to detect falls of the elderly. The VGG16 network part of the SSD network is replaced with the MobilenetV2 network. At the same time, we change the infrastructure of MobilenetV2 network, the three layers that were not downsampled at the end were removed, which can make the model structure simpler and faster to detect. The complete Intersection-over-Union (CIoU) loss function is introduced to get a good regression of the target borders that have different sizes and different proportions. We use Feature Pyramid Network (FPN) for upsampling, it can fuse low-level feature maps with high resolution and high-level feature maps with rich semantic information. For sampling results, we use the Secure Shell (SSH) module to extract different receptive fields, which improves the detection accuracy. Our model ensures that the accuracy of the elderly fall detection remains unchanged, but it greatly improves the detection speed that only takes 10 milliseconds to detect a picture.

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Human Behavior Analysis Using Deformable Triangulations

Cited by 9 publications

References 10 publications

Personalized multimedia alert service of fall event for ageing in place

Personalized multimedia alert service of fall event for ageing in place

Boosted string representation and its application to video surveillance

Elderly Fall Detection Based on Improved SSD Algorithm

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