Compressed sensing using hidden Markov models with application to vision based aircraft tracking

This paper investigates compressed sensing using hidden Markov models (HMMs) and hence provides an extension of recent single frame, bounded error sparse decoding problems into a class of sparse estimation problems containing both temporal evolution and stochastic aspects. This paper presents two optimal estimators for compressed HMMs. The impact of measurement compression on HMM filtering performance is experimentally examined in the context of an important image based aircraft target tracking application. Surprisingly, tracking of dim small-sized targets (as small as 5-10 pixels, with local detectability/SNR as low as − 1.05 dB) was only mildly impacted by compressed sensing down to 15% of original image size.

iPads in the Early Years : Developing Literacy and Creativity

Digital devices like smart phones and tablet computers are becoming commonplace in young children’s lives for play, entertainment, learning and communication. Recently, there has been a great deal of focus on the educational potential of devices like iPads in both formal and informal educational settings. There is now an abundance of educational ‘apps’ available to children, parents, and kindergarten and pre-school teachers that claim to enhance children’s early literacy and numeracy development and creativity. To date, though, there has been very little formal investigation of the educational potential of these devices. This book discusses the impact on children’s learning when iPads were introduced in three very different kindergartens in Brisbane, Australia. Chapters outline how researchers worked with pre-school teachers and parents to explore how iPads can assist with letter and word recognition, the development of oral literacy and talk around play. The book also considers the possibilities for using iPads for creativity and arts education through photography, storytelling, drawing, music creation and audio recording.