TWO-DIMENSIONAL AND THREE-DIMENSIONAL SLIDING WINDOW-BASED METHODS AND SYSTEMS FOR DETECTING VEHICLES
First Claim
Patent Images
1. A computer implemented method of detecting a vehicle in a video frame, the video frame acquired from a fixed parking occupancy video camera including a field of view associated with a vehicle parking region, the method comprising:
- a) capturing a video frame from the fixed parking occupancy video camera, the video frame including a ROI (Region of Interest) oriented by an orientation angle relative to an orientation of an image plane associated with the captured video frame, the ROI including one or more parking spaces of the vehicle parking region;
b) rotating the ROI by the orientation angle of the ROI; and
c) performing a sliding window-based 2-D (Dimensional) space search for a vehicle within the rotated ROI, the sliding window-based 2-D space search extracting one or more features associated with each of a plurality of windows and accessing a classifier to classify each window as including a vehicle or not including a vehicle.
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Abstract
Provided is a method and system for efficient localization in still images. According to one exemplary method, a sliding window-based 2-D (Dimensional) space search is performed to detect a parked vehicle in a video frame acquired from a fixed parking occupancy video camera including a field of view associated with a parking region.
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Citations
30 Claims
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1. A computer implemented method of detecting a vehicle in a video frame, the video frame acquired from a fixed parking occupancy video camera including a field of view associated with a vehicle parking region, the method comprising:
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a) capturing a video frame from the fixed parking occupancy video camera, the video frame including a ROI (Region of Interest) oriented by an orientation angle relative to an orientation of an image plane associated with the captured video frame, the ROI including one or more parking spaces of the vehicle parking region; b) rotating the ROI by the orientation angle of the ROI; and c) performing a sliding window-based 2-D (Dimensional) space search for a vehicle within the rotated ROI, the sliding window-based 2-D space search extracting one or more features associated with each of a plurality of windows and accessing a classifier to classify each window as including a vehicle or not including a vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13)
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14. A vehicle detection system associated with a vehicle parking region, the vehicle detection system comprising:
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a parking occupancy video camera directed towards the vehicle parking region; and a controller operatively associated with the parking occupancy video camera, the controller configured to execute computer instructions to perform a process of detecting a vehicle in a video frame including; a) capturing a video frame from the parking occupancy video camera, the video frame including a ROI (Region of Interest) orientated by an orientation angle, relative to an orientation of an image plane associated with the captured video frame, the ROI including one or more parking spaces of the vehicle parking region; b) rotating the ROI by the orientation angle of the ROI; and c) performing a sliding window-based 2-D (Dimensional) space search for a vehicle within the rotated ROI, the sliding window-based 2-D space search extracting one or more features associated with each of a plurality of windows and accessing a classifier to classify each window as including a vehicle or not including a vehicle. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A computer implemented method of determining parking occupancy associated with a vehicle parking region comprising:
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a) capturing a video frame from a parking occupancy video camera directed towards the vehicle parking region; b) rotating the captured video frame by a predetermined orientation angle of a longitudinal axis associated with a ROI (Region of Interest) associated with the captured video frame, relative to an orientation of an axis associated with an image plane associated with the captured video frame, the ROI including one or more parking spaces of the parking region; and c) performing a sliding window-based 2-D (Dimensional) space search for a vehicle within the ROI associated with the rotated captured video frame, the sliding window-based 2-D space search extracting one or more features associated with each of a plurality of windows and accessing a classifier to classify each window as including a vehicle or not including a vehicle. - View Dependent Claims (27, 28, 29)
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30. A computer implemented method of detecting a vehicle in a video frame, the video frame acquired from a fixed parking occupancy video camera including a field of view associated with a vehicle parking region, the method comprising:
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a) capturing a video frame from the fixed parking occupancy video camera, the video frame including a ROI (Region of Interest) oriented by an orientation angle relative to an orientation of an image plane associated with the captured video frame, the ROI including one or more parking spaces of the vehicle parking region; and b) performing a sliding window-based 2-D (Dimensional) Space Search for a vehicle with the ROI, the sliding window-based 2-D space search extracting one or more features associated with each of a plurality of windows and accessing a classifier to classify each window as including a vehicle or not including a vehicle, wherein step b) performs the sliding window-based 2-D space search along an orientation axis of the ROI associated with the orientation angle of the ROI relative to the orientation of the image plane.
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Specification