Street Parking Detection
نویسندگان
چکیده
We present a computer vision-based street parking detection. Our system detects vacant parking spots in between the T-shaped parking markers that are commonly used to indicate parking spots on the sides of streets. We detect these T marks using a template-based sliding window approach that convolves HOG features. Using these T marks, we can find parking regions in the image, and compute color histograms to determine whether the parking regions are vacant. Our result achieved 69.3% recall and 92.6% precision. We conclude by analyzing the performance of our system on our mobile platform, the Nvidia Shield Tablet.
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