METHODS AND SYSTEM FOR AUTOMATED IN-FIELD HIERARCHICAL TRAINING OF A VEHICLE DETECTION SYSTEM
First Claim
1. A computer implemented method of detecting a vehicle in video, the video acquired from a fixed parking occupancy video camera including a field of view associated with a parking region, the method comprising:
- a) capturing video from the fixed parking occupancy video camera; and
b) performing a sliding window-based space search for a vehicle within the captured video, the sliding window-based space search extracting one or more features associated with each of a plurality of windows and accessing an operatively associated second classifier to classify each window as including a vehicle or not including a vehicle,wherein the second classifier is trained using high confidence training samples acquired from samples of video obtained from the fixed parking occupancy video camera operatively associated with a first classifier, the samples including positive (vehicle) samples of video and negative (non-vehicle) samples of video.
4 Assignments
0 Petitions
Accused Products
Abstract
Disclosed are methods and systems for detecting one or more vehicles in video captured from a deployed video camera directed at a parking region. According to one exemplary embodiment, disclosed is a method of training a deployed classifier associated with the video camera, where a generic classifier is initially used to obtain high confidence training samples from the video camera, the high confidence training samples subsequently used to train the deployed classifier.
17 Citations
25 Claims
-
1. A computer implemented method of detecting a vehicle in video, the video acquired from a fixed parking occupancy video camera including a field of view associated with a parking region, the method comprising:
-
a) capturing video from the fixed parking occupancy video camera; and b) performing a sliding window-based space search for a vehicle within the captured video, the sliding window-based space search extracting one or more features associated with each of a plurality of windows and accessing an operatively associated second classifier to classify each window as including a vehicle or not including a vehicle, wherein the second classifier is trained using high confidence training samples acquired from samples of video obtained from the fixed parking occupancy video camera operatively associated with a first classifier, the samples including positive (vehicle) samples of video and negative (non-vehicle) samples of video. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
-
13. A vehicle detection system associated with a parking region, the vehicle detection system comprising:
-
a fixed parking occupancy video camera including a field of view associated with the parking region; and a controller operatively associated with the fixed parking occupancy video camera, the controller configured to execute computer instructions to perform a process of detecting a vehicle in video including; a) capturing video from the fixed parking occupancy video camera; and b) performing a sliding window-based space search for a vehicle within the captured video, the sliding window-based space search extracting one or more features associated with each of a plurality of windows and accessing a second classifier to classify each window as including a vehicle or not including a vehicle, wherein the second classifier is trained using high confidence training samples acquired from samples of video obtained from the parking occupancy video camera operatively associated with a first classifier, the samples including positive (vehicle) samples of video and negative (non-vehicle) samples of video. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
-
-
25. A computer implemented method of training a second classifier associated with a second vehicle detection system, the second vehicle detection system operatively associated with a second fixed parking occupancy video camera including a second field of view associated with a second parking region, the method comprising:
-
a) training a first classifier associated with a first vehicle detection system, the first vehicle detection system operatively associated with a first fixed parking occupancy video camera including a first field of view associated with a first parking region; b) acquiring high confidence training samples from the second vehicle detection system operatively associated with the first classifier; and c) training the second classifier using the acquired high confidence training samples.
-
Specification