Abstract:
Parking occupancy detection methods, systems and processor-readable media. A laser device unit includes a laser range finder, and a programmable pan-tilt unit is deployable on site to monitor one or more parking spaces. A laser emitting and receiving unit associated with the laser range finder determines the distance of an object by estimating a time difference between an emitted laser and a received laser. The laser range finder is controllable by the programmable pan-tilt unit and scans the parking spaces. A signal-processing unit can convert the measured distance profile to a parking occupancy data to provide continuous parking space estimation data for use in parking occupancy detection.
Abstract:
Methods, systems and processor-readable media for portable parking occupancy detection. One or more cameras can be provided on a portable mast for capturing video on parking of a street. Optional attachments to the portable mast can include stabilization base and/or a set of guy ropes for further stabilizing the mast. A power unit can be utilized for delivering power to the system. A video capturing/processing unit either captures and records the video from the camera(s) for offline processing of parking occupancy or processes the videos on-site. Optionally, a wireless communication unit for transmitting either video or processed parking occupancy data to a central location can be employed.
Abstract:
An image assisted parking space availability searching and reservation method and system. An image capturing unit can be deployed onsite (e.g., parking lot, street side parking, etc.) to monitor parking spaces/spots. A parking space detection and reservation module can be configured in association with a mobile communications device to assist in the detection and selection of particular spaces. A destination street(s) can be located via a web browser installed associated with the mobile communications device. An IP address of the image-capturing unit monitoring the parking space can be obtained and a snapshot image/video of the street can be displayed. The captured video can be processed in real-time to report parking availability with respect to the street(s) and a parking space reserved.
Abstract:
A system and method for determining parking occupancy and maintaining a database of parking occupancy data by receiving video data for a parking area from multiple video cameras, determining parking occupancy data for the parking area using the video data for the parking area, generating textual data corresponding to the parking occupancy data for the parking area, and transmitting the textual data corresponding to the parking occupancy data for the parking area to a central server. The central server can receive textual data from multiple devices and maintain and update a database of parking occupancy data based on the textual data received.
Abstract:
A method of forming a tunable Fabry-Perot filter includes forming a first reflective layer on a surface of a substrate, forming a sacrificial layer over the first reflective layer, forming a second reflective layer over the sacrificial layer, defining vias through the sacrificial layer, forming a support body over the sacrificial layer which extends into the vias and removing the sacrificial layer to define a gap intermediate the first and second reflective layers.
Abstract:
What is disclosed is a system and method for processing image data acquired using a multi-band infrared camera system with a spectral mosaic filter arranged in a geometric pattern without having to perform a demosaicing that is typical with processing data from an array of sensors. In one embodiment, image data that has been captured using a camera system that has a spectral filter mosaic comprising a plurality of spectral filters arrayed on a grid. A material index is determined, using intensity values collected by sensor elements associated with a cell's respective spectral filters. All of the material indices collectively generate a material index image. Thereafter, material identification is performed on the material index image using, for example, pixel classification. Because the demosaicing step can be effectively avoided, image processing time is reduced. The teachings hereof find their uses in a wide array of applications including automated HOV/HOT violation detection.
Abstract:
This disclosure provides vehicle detection methods and systems including irrelevant search window elimination and/or window score degradation. According to one exemplary embodiment, provided is a method of detecting one or more parked vehicles in a video frame, wherein candidate search windows are limited to one or more predefined window shapes. According to another exemplary embodiment, the method includes degrading a classification score of a candidate search window based on aspect ratio, window overlap area and/or a global maximal classification.
Abstract:
Methods, systems and processor-readable media for identifying a vehicle for street parking management. An initial identification of one or more vehicles detected parked along a street can be generated based on one or more of a group of factors. The initial identification can be communicated to a user of the vehicle by transmitting an image indicative of the vehicle parked along the street (e.g., via a mobile communications device). An operation can then be implemented for requesting a confirmation or a non-confirmation as to whether the vehicle detected and displayed on the image is associated with the user. Upon confirmation, an operation can be implemented for identifying the at least one vehicle as the initial identification. Upon non-confirmation, an operation can be implemented to query to identify the vehicle associated with the user from among a group of vehicles displayed via the image.
Abstract:
A method and system for determining one or more dimension estimations for a vehicle. A sequence of image frames of a vehicle is received, and a digital representation of the vehicle is extracted from each image in the sequence of image frames. A bounding box is determined for the vehicle based upon the extracted digital representation for each digital representation of the vehicle and at least one dimension of the vehicle is estimated based upon the determined bounding box. An indication of the at least one estimated dimension is output. The indication of at least one estimated dimension is transferred as an input to a comparison technique for further processing the indication of the at least one estimated dimension. The comparison technique can include a parking determination process configured to determine a recommended spot for the vehicle based upon the indication of the at least one estimated dimension.
Abstract:
A method for training a vehicle detection system used in a street occupancy estimation of stationary vehicles. The method includes defining first and second areas on an image plane of an image capture device associated with monitoring for detection of vehicles. The method includes receiving video-data from a sequence of frames captured from the image capture device. The method includes determining candidate frames that include objects relevant to a classification task in the second area. The method includes extracting the objects from the candidate frames, extracting features of each extracted object, and assigning labels to the each extracted object. The method includes training at least one classifier using the labels and extracted features. The method includes using the at least one trained classifier to classify a stationary vehicle detected in the first area.