EE586L/Projects 2011

Alter Ego

Authors: Nirmal Patel, Vipresh Gangwal

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Blu-Rabbit

Authors: Evan Lee, Jose Herrera, Ross MacKinnon

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Cam Hockey

Authors:Anoop Panicker, Mihir Thakkar, Sanjay Jain, Vinit Adkar

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CamMouse

Authors: Yen-Cheng Chen, Chan-Yi Ou, Yu-Ting Wu, Jin-Wei Lee

Abstract: Our goal is develop a virtual computer cursor control interface which can control computer cursor and do right click and left click as normal computer mouse. This interface will be implemented by video camera. Users with this system can control the computer cursor with bare hands (or with some color markers stick on hand). This idea is inspired by our daily life; although touch panel is getting better and better nowadays, using mouse is still the easiest and most effort-saving way to control computer cursor. However, to use computer mouse, a flat and unreflected surface is needed. By using this system, we don’t need to bring a real mouse and can be used in any kind of surface.

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Dancing Machine

Authors: Yue Pan, Chenchen Wang

Abstract: Dancing Machine Modeling: 1) Judge the behavior of player wearing color markers based on color detection algorithm. If the player locates the right colored marker into the requested space area at correct moment, one score will be added. 2) The speed of the game(flying arrow speed)is in pace with the chosen real-time music, based on beat detection algorithm. 3) The interface is divided into three parts: arrow panel, score showing panel and real-time camera video panel. 4) The game complexity could be changed by switches of the platform.

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Fatigue Driving Warning System

Authors: Young Chun Ahn, Lu Liu, Yinxiao Zhang

Abstract: A system that monitors the user with a camera and send out warnings when it's detected that the user is dozing off.

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Go Five

Authors: Fei Yu, Weijie Zhao, Zhe Wang

Abstract: Using motion based control techniques in games is becoming gradually more popular nowadays. Mobile cameras and real-time video processing take place of traditional input devices, which may provide much better game experience with much more freedom and joy. In this project, gestures of fingers are used as the control factor. Skin color extraction and pattern matching are adopted to detect the position of finger tips to achieve low complexity for real-time interactivity. In addition to that, modified low pass filter is applied to reduce the influence of noise and therefore keep the robustness of the detection. More than five kinds of control commands defined by distinct finger gestures are designed user-friendly. Overall, by introducing this novel way to a real-time interactive game, players are able to enjoy fancy gaming experiences by simply moving their fingers in front of a camera.

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Gotya

Authors: Yu-Chun Yang, Chun-Kang Chen, Yung-Chun Chen

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hEEEro

Authors: Xiang Fu, Lidou Wang, Yingbu Kou

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Match & OCR

Authors: Chun-Ting Huang, Kuan-Ming Lin, Yen-Feng Lee

Abstract: Our project includes one mini game and Chinese number OCR system. Firstly, the mini game utilizes marker tracking to check the marker matches the position on the screen, and if it matches, the score also increases. Secondly, we build writing interface for input in the Chinese number OCR system, and the system can recognize the input information as Chinese number or unknown.

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Midas Hands

Authors: Geun Lee, Suk Jin Lee, Shafil ahmed, Christian Idyllel

Abstract: Depth data from the Kinect is used for hand gesture recognition to manipulate on-screen images through geometric modifications. These modifications include scaling and translation.

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Pitchin' Wavelets

Authors: Balamurali Govindaraju, Yule Wu

Abstract: Pitch Shifting by Wavelets.

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Project Conductor

Authors: Nitin Balajee Ravi, Prasanna Dhamodaran, Sung Kwang Cho

Abstract: "The objective of the project is to change the tempo of music real-time using gestures. We also have multiple/single instruments playing some music whose tempo is varied.

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Super Advertisement

Authors: Jian Chen, Boyang Li, Chen Ling

Abstract: "A method for automatic insertion of image into a real-time video sequence is implemented. The algorithm is based on Harris corner detection and image mapping.

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