摘要:
Described herein is a method of determining parking lot occupancy from digital images, including a set-up procedure that includes receiving a layout of a parking lot and estimating parking space volume for at least one viewing angle and the probability that an observed pixel belongs to the parking space volume. The method further includes acquiring one or more image frames of the parking lot from at least one digital camera; performing pixel classification using a vehicle detector on the acquired image frames to determine a likelihood that a pixel belongs to a vehicle; computing a probability that a parking space is occupied by a vehicle based on a spatially varying membership probability density function and a likelihood of vehicle pixels within a region of interest; and determining parking lot vacancy via a comparison of the computed probability that a parking space is occupied by a vehicle to a pre-determined threshold.
摘要:
Described herein is a method of determining parking lot occupancy from digital images, including a set-up procedure that includes receiving a layout of a parking lot and estimating parking space volume for at least one viewing angle and the probability that an observed pixel belongs to the parking space volume. The method further includes acquiring one or more image frames of the parking lot from at least one digital camera; performing pixel classification using a vehicle detector on the acquired image frames to determine a likelihood that a pixel belongs to a vehicle; computing a probability that a parking space is occupied by a vehicle based on a spatially varying membership probability density function and a likelihood of vehicle pixels within a region of interest; and determining parking lot vacancy via a comparison of the computed probability that a parking space is occupied by a vehicle to a pre-determined threshold.
摘要:
A camera may be positioned to have a direct view of on-coming vehicle traffic from a first perspective. Additionally, a reflective surface, such as a mirror, may be positioned within the viewing area of the same camera to provide the camera with a reflected view of vehicle traffic from a second perspective. The images recorded by the camera may then be received by a computing device. The computing device may separate the images into a direct view region and a reflected view region. After separation, the regions may be analyzed independently and/or combined with other regions, and the analyzed data may be stored. The regions may be analyzed to determine various vehicle characteristics, including, but not limited to, vehicle speed, license plate identification, vehicle occupancy, vehicle count, and vehicle type.
摘要:
A method of, and system for, selective video frame compression and decompression is presented. The disclosed technique is particularly suited for efficient event-driven searching in large databases. The technique involves designating certain frames in a video sequence as reference frames, to be compressed using a first compression technique, where the remaining frames are compressed using a second compression technique. The first compression technique may be implemented without requiring data from any neighboring frames.
摘要:
This disclosure provides a video camera and video processing alert system for detecting a vehicle in reverse. According to one exemplary embodiment, the system operates according to the following guidelines or steps: (1) Acquire video containing features relevant to reverse detection, (2) Identify feature(s) within the video frame that are relevant to a vehicle in reverse, (3) Examine identified features to extract the evidence of vehicle backing up for a current frame, (4) Apply temporal filtering on the frame-to-frame evidence, (5) Use filtered evidence for decision on triggering the alarm, (6) Triggering an alarm if indicated by the decision. The system can be implemented with relative low cost and complexity, due to the affordability of video cameras, and the fact that many drive-through locations have existing video capture infrastructure.
摘要:
Spatially dependent colorant interaction effects are identified and isolated from other aspects of spatially dependent colorant appearance nonuniformities. A decorrelating function for compensating for the identified spatially dependent colorant interaction effects is determined. Spatially dependent single colorant compensating functions for compensating for the other aspects of the spatially dependent colorant appearance nonuniformities may also be determined. Image data is processed through the decorrelating function, thereby generating colorant values that are compensated for spatially dependent colorant interaction effects. Optionally, image data is also processed through the spatially dependent single colorant compensating functions, thereby generating colorant values that are compensated for both aspects of colorant appearance nonuniformities. The two kinds of compensating functions may be determined, calibrated and/or stored at different spatial and temporal frequencies or resolutions. One or both of the compensating functions may be employed to maintain consistency across a plurality of rendering devices (e.g., marking engines).
摘要:
This disclosure provides a method and system for automatically recognizing facial expressions at variable resolutions of video. According to one exemplary method, facial expressions are detected, extracted and classified from a video sequence based on an automatic localization of the periocular region associated with a detected and extracted face.
摘要:
An automated method and system for detecting the presence of a smoking product utilizing a near infrared video-processing unit in real time. One or more near infrared (NIR) video capturing units can be configured to capture a video feed. The video feed can be processed by the video-processing unit in order to detect a smoking product (e.g., a lit cigarette) within a field of view of the video capturing unit. A near infrared video sequence can be read and analyzed for the presence of a “hot spot” of a predetermined size based on pixel color information. In some cases, the motion of the hot spot can be tracked in response to the detection of the hot spot. An alarm signal can also be triggered in some cases, if the pattern of motion is consistent with that of a cigarette being smoked.
摘要:
Systems and methods are disclosed that include a video-based analysis system that detects, tracks and archives vehicles in video stream data at multiple resolutions. The system includes an image capturing device that captures video stream data having video at a first high resolution. A vehicle detection module detects at least one vehicle within the video. A vehicle analysis module is configured to analyze the video and to extract one or more key vehicle features from the video to enable identification of a vehicle of interest (VOI) according to a set of predetermined criteria. A subsampling module creates a reduced resolution video stream in a second subsampled resolution that is lower than the first high resolution while maintaining the one or more extracted key features within the reduced resolution video stream in the first high resolution, and archives the reduced resolution video stream into a video database.
摘要:
Automated low-complexity video-based vehicle speed estimation is described, that operates within the video stream to screen video sequences to identify and eliminate clear non-violators and/or identify and select potential violators within a multi-layer speed enforcement system, in which deeper layers provide enhanced accuracy on selected candidate (speeding) vehicles. Video motion vector clusters corresponding to a vehicle are identified and tracked across multiple frames of captured video. Movement of the motion vector clusters translated from pixels per second to real speed (e.g. miles per hour) to determine whether the vehicle was speeding. Estimated speed data is added to the video stream data is metadata, and video segments of candidate speeding vehicles are stored and/or transmitted for subsequent review (e.g. automated or manual).