Abstract: Embodiments of the disclosure provide for systems and methods for searching video data for events and/or behaviors. An inference engine can be used to aide in the searching. In some embodiments, a user can specify various search criteria, for example, a video source(s), an event(s) or behavior(s) to search, and an action(s) to perform in the event of a successful search. The search can be performed by analyzing an object(s) found within scenes of the video data. An object can be identified by a number of attributes specified by the user. Once the search criteria has been received from the user, the video data can be received (or extracted from storage), the data analyzed for the specified events (or behaviors), and the specified action performed in the event a successful search occurs.

Abstract: An embodiment of the present invention includes a master camera that may record master metadata regarding an object of interest and communicate the master metadata to a slave camera. The slave camera may zoom, pan, or tilt to isolate and record more detailed image data regarding the object of interest based on the master metadata. In addition, the slave camera may record slave metadata regarding the object of interest. The master and slave metadata may be stored associated with the recorded image data enabling a later search for the object of interest to be expedited. The recorded image data including the object of interest may be identified with greater ease as it may be guided by the master or slave metadata, or a combination thereof. According to embodiments presented herein, processing time for searching and identifying an object of interest may be reduced by enabling a search on the metadata associated with image data, rather than by searching the image data itself.

Abstract: Systems and methods for focus control in a pan-tilt-zoom (PTZ) camera system are described herein. An example of a method described herein includes identifying a set of trace curves associated with the camera system, each of the trace curves specifying relationships between focus lens positions and zoom lens positions for a corresponding camera position, selecting a trace curve using the set of trace curves and one or more of pan angle, tilt angle or installation height of the camera system, and identifying a focus lens position for a current zooming factor of the camera system based on the selected trace curve.

Abstract: Embodiments of the disclosure provide for systems and methods for creating metadata associated with a video data. The metadata can include data about objects viewed within a video scene and/or events that occur within the video scene. Some embodiments allow users to search for specific objects and/or events by searching the recorded metadata. In some embodiments, metadata is created by receiving a video frame and developing a background model for the video frame. Foreground object(s) can then be identified in the video frame using the background model. Once these objects are identified they can be classified and/or an event associated with the foreground object may be detected. The event and the classification of the foreground object can then be recorded as metadata.

Abstract: A video surveillance system includes: an input configured to receive indications of images each comprising a plurality of pixels; a memory; and a processing unit communicatively coupled to the input and the memory and configured to: analyze the indications of the images; compare the present image with a short-term background image stored in the memory; compare the present image with a long-term background image stored in the memory; provide an indication in response to an object in the present image being disposed in a first location in the present image, in a second location in, or absent from, the short-term background image, and in a third location in, or absent from, the long-term background image, where the first location is different from both the second location and the third location.

Abstract: An apparatus for distributing video content includes one or more video input modules each adapted to receive a video signal from a video source, and a video combiner for receiving the video signals from the one or more video inputs and generating a video packet data stream. The apparatus also includes at least one video output module adapted to transmit the video packet data stream, and a processor coupled to the video combiner and the at least one video output. The processor cooperates with one or both of the video combiner and the at least one video output to transcode at least a portion of the video packet data stream.

Abstract: Techniques are discussed for correcting optical aberrations that exist in surveillance domes that have spherical and non-spherical parts. For example, the image quality of a surveillance camera is reduced when it focuses on an object through a non-spherical base of a surveillance dome. This image quality reduction could potentially compromise the security of the area monitored by the surveillance camera by failing to provide enough detail to identify individuals or other objects of interest. Utilizing a corrective optical element to provide curvature to a wavefront that travels through the non-spherical base, however, helps preserve the image quality of the camera and thereby helps maintain the integrity of the surveillance system.

Abstract: A method of adjusting the color of images captured by a plurality of cameras comprises the steps of receiving a first image captured by a first camera from the plurality of cameras, analyzing the first image to separate the pixels in the first image into background pixels and foreground pixels, selecting pixels from the background pixels that have a color that is a shade of gray, determining the amount to adjust the colors of the selected pixels to move their colors towards true gray, and providing information for use in adjusting the color components of images from the plurality of cameras.

Abstract: An imaging system includes: an image module configured to produce image frames at a frame rate F, the image module being configured to capture first and second portions of each of the image frames at different times; a frequency determination module, communicatively coupled to the image module, configured to determine frequency components associated with the first and second portions over a plurality, N, of the image frames; and a flicker analysis module, communicatively coupled to the frequency determination module, configured to determine whether any of the frequency components of the first and second portions are indicative of perceptible flicker.

Abstract: Techniques are discussed for providing mechanisms for coding and transmitting high definition video, e.g., over low bandwidth connections. In particular, foreground-objects are identified as distinct from the background of a scene represented in a plurality of video frames received from a video source, such as a camera. In identifying foreground-objects, semantically significant and semantically insignificant movement (e.g., repetitive versus non-repetitive movement) is differentiated. Processing of the foreground-objects and background proceed at different update rates or frequencies.

Abstract: Systems and methods are described for determining device positions in a video surveillance system. A method described herein includes generating a reference sound; emitting, at a first device, the reference sound; detecting, at the first device, a responsive reference sound from one or more second devices in response to the emitted reference sound; identifying a position of each of the one or more second devices; obtaining information relating to latency of the one or more second devices; computing a round trip time associated with each of the one or more second devices based on at least a timing of detecting the one or more responsive reference sounds and the latency of each of the one or more second devices; and estimating the position of the first device according to the round trip time and the position associated with each of the one or more second devices.

Abstract: A method of configuring a camera to view a sequence of positions comprising the steps of displaying a graphical user interface, displaying a plurality of thumbnails on the graphical user interface with the plurality of thumbnails having associated respective positions of the camera and the respective thumbnails in the plurality of thumbnails providing the field of view of the camera in the respective positions, providing a workspace on the graphical user interface, enabling a user to drag and drop thumbnails to the workspace, and creating a tour for the camera based on the thumbnails in the workspace.

Abstract: Techniques for processing video content in a video camera are provided. The techniques include a method for processing video content in at video camera according to the disclosure includes capturing thermal video data using a thermal imaging sensor, determining quantization parameters for the thermal video data, quantizing the thermal video data to generate quantized thermal video data content and video quantization information, and transmitting the quantized thermal video data stream and the video quantization information to a video analytics server over a network.

Abstract: A method and apparatus for controlling a video surveillance display comprising receiving an MPEG video stream comprising video data in I-frames and P-frames, storing the MPEG video stream in an input buffer, displaying the stored MPEG video stream in full-motion video, monitoring the amount of video data stored in the input buffer; and displaying only the I-frames of the stored MPEG video stream when the amount of video data stored in the input buffer is greater than a predetermined amount.

Abstract: A method of configuring a storage device for recording video data from a plurality of video sources comprising the steps of providing a list of parameters that control settings of the plurality of video sources that affect the amount of video data that will be provided by a video source from the plurality of video sources, allowing a user to select a parameter from the list, allowing the user to change the selected parameter, determining the effect of changing the selected parameter on the amount of video storage available; and providing the user with feedback concerning the effect of changing the selected parameter.

Abstract: The methods and systems described herein are directed to image processing. More specifically, the image processing described herein may include centering an object in the field of view during zooming. The image processing methods and systems may further include setting a magnification factor, positioning the camera in a first field of view, capturing a first image, setting a second magnification factor, and capturing a second image. Additionally, the described techniques may include altering the first image to determine an offset and adjusting the camera based on the offset.

Abstract: Trajectory information of objects appearing in a scene can be used to cluster trajectories into groups of trajectories according to each trajectory's relative distance between each other for scene activity analysis. By doing so, a database of trajectory data can be maintained that includes the trajectories to be clustered into trajectory groups. This database can be used to train a clustering system, and with extracted statistical features of resultant trajectory groups a new trajectory can be analyzed to determine whether the new trajectory is normal or abnormal. Embodiments described herein, can be used to determine whether a video scene is normal or abnormal. In the event that the new trajectory is identified as normal the new trajectory can be annotated with the extracted semantic data. In the event that the new trajectory is determined to be abnormal a user can be notified that an abnormal behavior has occurred.