2008 IEEE International Symposium on Parallel and Distributed Processing With Applications 2008
DOI: 10.1109/ispa.2008.129
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A Robust Blob Recognition and Tracking Method in Vision-Based Multi-touch Technique

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Cited by 31 publications
(10 citation statements)
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“…Keeping in view the severity of imprecise target selection on multi-touch screen and role of human fingers, the few but inspiring studies have been conducted to empirically evaluate the finger input properties [36][35] [34]. These studies provide a rational to avoid the imprecise target selection but recommend to evaluate fingertip contact area and shape extensively.…”
Section: Figure 1 Imprecise Selection Problemmentioning
confidence: 99%
“…Keeping in view the severity of imprecise target selection on multi-touch screen and role of human fingers, the few but inspiring studies have been conducted to empirically evaluate the finger input properties [36][35] [34]. These studies provide a rational to avoid the imprecise target selection but recommend to evaluate fingertip contact area and shape extensively.…”
Section: Figure 1 Imprecise Selection Problemmentioning
confidence: 99%
“…In processing, Blob detection function mainly considers to identify same gray level pixels from the image. And these pixels are separated into different blobs based on relationship of interconnection [Wang et al 2008]. In other words, a blob is defined as a region of connected pixels.…”
Section: Related Workmentioning
confidence: 99%
“…Although there are some heuristic methods proposed to resolve the tracking problem [2], [7], [8], the problem size they considered is too small and cannot guarantee the optimal solution. Wang et al in [7] proposed the Minimum Distance First (MDF) algorithm to identify and track the corresponding touch points in two sequential images. The MDF algorithm considers the touch points having the shortest distance as the corresponding touch points.…”
Section: Introductionmentioning
confidence: 99%