Photographing System Employing a Shoulder-Mounted PTZ Camera for Capturing the Composition Designated by the User’s Hand Gesture
We have developed the wearable system for photographing of the scenery/composition designated by the user’s hand frame with a shoulder-mounted camera. The hand frame is the gesture of making a rectangular enclosure with both hands when the user considers the composition of a picture. The system detects the hand region of the user from an image of a head-mounted camera, and gets a “picking region image” by recognizing the hand gesture. The picking region is the region in the hand frame indicated by the user through the image of the head-mounted camera. It photographs high resolution image of the similar composition as the picking region image, called “target region image” by controlling PTZ (pan/tilt/zoom) of the shoulder-mounted camera. It performs robust control on noise such as the user’s body sway.
KeywordsShoulder-mounted camera PTZ Feature point tracking Wearable system
- 1.Fuchi, K., Takahashi, S., Tanaka, Z.: A system for taking a picture by hand gesture. In: Proceedings of the 70th National Convention of IPSJ, Japan (2008)Google Scholar
- 3.Sakata, N., Kurata, T., Kourogi, M., Kuzuoka, H., Billinghurst, M.: Remote collaboration using a shoulder-worn active Camera/Laser. In: Multimedia, Distributed, Cooperative, and Mobile Symposium (Dicomo 2004), Japan, pp. 377–380 (2004)Google Scholar
- 4.Song, J., Sörös, G., Pece, F., Fanello, S.R., Izadi, S., Keskin, C., Hilliges, O.: In-air gestures around unmodified mobile devices. In: ACM User Interface Software and Technology Symposium (UIST 2014), USA, pp. 319–329 (2014)Google Scholar
- 5.Mair, E., Hager, G.D., Burschka, D., Suppa, M., Hirzinger, G.: Adaptive and generic corner detection based on the accelerated segment test. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6312, pp. 183–196. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15552-9_14 CrossRefGoogle Scholar
- 6.Bradski, G., Kaehler, A.: Learning OpenCV - Computer Vision with the OpenCV Library. O’Reilly Media, USA (2008)Google Scholar