A novel method was proposed, which extracted video object＇ s track and analyzed video object＇ s be- havior. Firstly, this method tracked the video object based on motion history image, and obtained the co- ordinate-...A novel method was proposed, which extracted video object＇ s track and analyzed video object＇ s be- havior. Firstly, this method tracked the video object based on motion history image, and obtained the co- ordinate-based track sequence and orientation-based track sequence of the video object. Then the pro- posed hidden markov model （HMM） based algorithm was used to analyze the behavior of video object with the track sequence as input. Experimental results on traffic object show that this method can achieve the statistics of a mass of traffic objects＇ behavior efficiently, can acquire the reasonable velocity behavior curve of traffic object, and can recognize traffic object＇ s various behaviors accurately. It provides a base for further research on video object behavior.展开更多
Up until the early 1960s, rural Taiwan Residents people used grindstones to grind food items such as beans or wheat. As technology developed, this tool gradually fell out of use in Taiwan. Yet for the older generation...Up until the early 1960s, rural Taiwan Residents people used grindstones to grind food items such as beans or wheat. As technology developed, this tool gradually fell out of use in Taiwan. Yet for the older generation, the tool remains a symbol of the belief that hard work will lead to prosperity. This paper aimed to invoke these memories and beliefs through the design of an innovative museum exhibit. To achieve this, we designed a human-computer interface using the form and feel of this important historical artefact. We analyzed the design of this exhibit using the Idea-People-Object-Physical Attract-Engage-Flip （IPOP-AEF） model developed by Pekarik, Schreiber, Hanemann, Richmond, and Mogel （2014）. The designed exhibit ＂Hao Shi Duo Mo＂ was on show in Taiwan in May 2015. It was well-received by visitors, which was likely due to its fulfilment of each of the six elements of the IPOP-AEF model. This analysis serves as valuable reference for exhibition designer and artists.展开更多
基金supported by the High Technology Research and Development Programme of China(No.2004AA742209)
文摘A novel method was proposed, which extracted video object＇ s track and analyzed video object＇ s be- havior. Firstly, this method tracked the video object based on motion history image, and obtained the co- ordinate-based track sequence and orientation-based track sequence of the video object. Then the pro- posed hidden markov model （HMM） based algorithm was used to analyze the behavior of video object with the track sequence as input. Experimental results on traffic object show that this method can achieve the statistics of a mass of traffic objects＇ behavior efficiently, can acquire the reasonable velocity behavior curve of traffic object, and can recognize traffic object＇ s various behaviors accurately. It provides a base for further research on video object behavior.
文摘Up until the early 1960s, rural Taiwan Residents people used grindstones to grind food items such as beans or wheat. As technology developed, this tool gradually fell out of use in Taiwan. Yet for the older generation, the tool remains a symbol of the belief that hard work will lead to prosperity. This paper aimed to invoke these memories and beliefs through the design of an innovative museum exhibit. To achieve this, we designed a human-computer interface using the form and feel of this important historical artefact. We analyzed the design of this exhibit using the Idea-People-Object-Physical Attract-Engage-Flip （IPOP-AEF） model developed by Pekarik, Schreiber, Hanemann, Richmond, and Mogel （2014）. The designed exhibit ＂Hao Shi Duo Mo＂ was on show in Taiwan in May 2015. It was well-received by visitors, which was likely due to its fulfilment of each of the six elements of the IPOP-AEF model. This analysis serves as valuable reference for exhibition designer and artists.
