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The described algorithm requires only one comparison for sign detection.
Fig. 14 Multi-class traffic sign detection and classification in Google Street View images.
In this paper, we present a generic sign detection algorithm based on mixed radix conversion algorithm, MRC-II [M.
The entire procedure for traffic sign detection and recognition is executed in real time on a mobile GPU.
Our system shows robust performance in traffic sign detection, and experiments on real-world scenes confirmed its properties.
Nevertheless these systems do not benefit from Google Street View images for traffic sign detection and classification.
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In addition to the diabetic retinopathy signs detection, the maculopathy detection is also important in order to indicate the urgency of the referral based on the presence or absence of the maculopathy [3].
The distributed tracking with consensus problem as formulated above may have other applications beyond the space object tracking problem, such as in multitarget tracking with a group of autonomous robots [33], battlefield life signs detection by Unmanned Aerial Vehicles (UAVs) [34], package tracking in warehouse by sensor networks [35], etc.
Sign boundary detection based on eye blinking detection on the GSL database.
Recently, contactless vital sign (VS) detection has drawn wide attention and achieved great achievements [1 4].The electromagnetic detection is regarded as the most promising technique, which can acquire VS in the range-frequency matrix.
Figure 18 Sign boundary detection.
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