3D Measurement by Distributed Camera System for Constructing an Intelligent Room

Irie, Kenji; Wada, Masaki; Umeda, Kazunori

doi:10.1109/inss.2007.4297403

Cited by 3 publications

(4 citation statements)

References 11 publications

(8 reference statements)

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“…In recent studies there have been attempts to make a room or space an intelligent environment, typically called an "intelligent room" or "smart room" [1], [2]. This approach is effective for realizing natural human-machine interface.…”

Section: Introductionmentioning

confidence: 99%

“…This approach is effective for realizing natural human-machine interface. Conventionally, many studies on gesture recognition using images have been proposed [2], [3], [4], [5], [6]. Intelligent rooms that take advantage of gestures have been studied previously [7], [8], [9].…”

Section: Introductionmentioning

confidence: 99%

“…Intelligent rooms that take advantage of gestures have been studied previously [7], [8], [9]. Irie et al constructed an intelligent room in which a person can operate home appliances, without any additional equipment or restrictions on location, using gesture recognition techniques starting with the detection of hand waving [2], [10]. Improvements in the key functions for the operation of devices in an intelligent room are proposed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust fingertip tracking for constructing an intelligent room

Takimoto

Furukawa

Kishihara

et al. 2012

2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication

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In a watch-over system, the machine has to detect intention of human user according to circumstance, and such detection has to be able to be achieved naturally without special interface gadget like a hand controller. Hence, in this paper, we propose a hand detection and fingertip tracking method for use in an intelligent room. We are constructing an intelligent room in which any user can control home appliances with intuitive gestures. The presented intelligent room is a room in which home appliances and an interaction monitoring robot for elderly people are operated using intuitive gestures, without any additional equipment and any restriction for positions. The proposed method detects the hand region from a range data, which is robust for environmental changing in complex background. Using weak classifiers, the shape of extracted hand and direction of the fingertip is estimated without needing to know the location of the face. These processes are computationally fast enough to track an object in real time. In addition, characters written on a virtual 2D plane by the user's finger movement were estimated using incremental simple PCA for operator recognition.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust fingertip tracking for constructing an intelligent room

Takimoto

Furukawa

Kishihara

et al. 2012

2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication

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“…Motionbased extraction is more appropriate to this case than colorbased extraction. Detection of waving hands from images [9] is applied to Intelligent Room that consists of distributed cameras and provides gesture recognition to users for operating home appliances by hand gestures [10] [11].…”

Section: Introductionmentioning

confidence: 99%

Detection of small-waving hand by distributed camera system

Terabayashi

Asano

Nagayasu

et al. 2012

2012 Ninth International Conference on Networked Sensing (INSS)

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This paper proposes a method to detect smallwaving hand from image sequences. The method is based on frequency analysis of intensity value change for each pixel of low-resolution images converted from input images. Handwaving makes periodical change of intensity value of image pixels located in the moving region. The periodical change is detected by thresholding of a value accumulating frequency features obtained through FFT calculation. The proposed method can stably detect small-waving hand with 3-5 Hz in a range of 2-6 m. We demonstrate an application of spatial memory through measuring 3D position of small-waving hand detected by a distributed camera system.

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