Igal Dvir

Bio: Igal Dvir is an academic researcher from NICE Systems. The author has contributed to research in topics: Video tracking & Object (computer science). The author has an hindex of 8, co-authored 13 publications receiving 902 citations. Previous affiliations of Igal Dvir include Tel Aviv University.

Method and apparatus for video frame sequence-based object tracking

Abstract: An apparatus and method for the analysis of a sequence of captured images covering a scene for detecting and tracking of moving and static objects (86) and for matching (88) the patterns of object behavior in the captured images to object behavior in predetermined scenarios.

System and method for video content analysis-based detection, surveillance and alarm management

Abstract: A surveillance system and method for the automatic detection of potential alarm situation via a recorded surveillance content analysis and for the management of the detected unattended object situation. The proposed system and method is operative in capturing surveillance content (92), analyzing the captured content (100) and providing in real time a set of alarm messages to a set of diverse devices. The system provides event based debriefing according to captured objects captured by one or more cameras covering different scenes. The invention is implemented in the context of unattended objects (such as luggage, vehicles or persons), parking or driving in restricted zones, controlling access of persons into restricted zones, preventing loss of objects such as luggage or persons and counting of persons.

Apparatus and methods for the detection of abnormal motion in a video stream

Abstract: An apparatus and method for detection of abnormal motion in video stream, comprising a training phase for defining normal motion and a detection phase for detecting abnormal motions in the video stream. Motion is detected according to motion vectors and motion features extracted from video frames.

Digital video protection for authenticity verification

Abstract: A method for verifying the authenticity and integrity of an ordered sequence of digital video frames, without having access to the original recording, by embedding therein a respective series of digital signatures based on a secret key, or keys, and on the video content of respective frames. Signatures are camouflaged by embedding in transform coefficients of a transformed representation of the video data in parts of the frame corresponding to motion. If there is sufficient motion to contain all of the signature bits, a supplementary technique embeds in high-texture areas of a frame. A final fall-back is to embed in a pre-defined default zone. A method of predicting when supplementary embedding is needed enables the process to be applied in a single pass allowing real-time operation. Verification is done during decoding by comparing, for identity, embedded signatures with signatures calculated anew using the method employed to embed.

Apparatus and methods for the semi-automatic tracking and examining of an object or an event in a monitored site

Abstract: A method and apparatus for the investigation (57 of figure 4) of an object or an event in a video clip, by playing video clips of the object or objects associated with the events. The video frames comprised within the video clips comprise information regarding the creation time and coordinates of the objects appearing in multiple frames, thus enabling an operator to immediately play video clips tracking the object starting at the object's creation time within the field of view, until its disappearance from the field of view. By defining neighboring regions, and keeping the creation time of each object within each video stream, an object is tracked (55 of Figure 4) between different fields of view.

Display screen or portion thereof with graphical user interface

Abstract: Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Method, apparatus and system for capturing and analyzing interaction based content

Abstract: A method and apparatus (100) for capturing and analyzing customer interactions, the apparatus comprising a multi-segment interaction capture device (324), an initial set up and calibration device (326), a pre-processing and context extraction device (328) and a rule-based analysis engine (300).

Video surveillance system employing video primitives

Abstract: A video surveillance system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Methods and systems for enabling depth and direction detection when interfacing with a computer program

Abstract: A method for detecting direction when interfacing with a computer program is provided. The method includes capturing an image presented in front of an image capture device. The image capture device has a capture location in a coordinate space. When a person is captured in the image, the method includes identifying a human head in the image and assigning the human head a head location in the coordinate space. The method also includes identifying an object held by the person in the image and assigning the object an object location in coordinate space. The method further includes identifying a relative position in coordinate space between the head location and the object location when viewed from the capture location. The relative position includes a dimension of depth. The method may be practiced on a computer system, such as one used in the gaming field.

System and method for providing a real-time three-dimensional interactive environment

Abstract: An invention is provided for affording a real-time three-dimensional interactive environment using a three-dimensional camera. The invention includes obtaining two-dimensional data values for a plurality of pixels representing a physical scene, and obtaining a depth value for each pixel of the plurality of pixels using a depth sensing device. Each depth value indicates a distance from a physical object in the physical scene to the depth sensing device. At least one computer-generated virtual object is inserted into the scene, and an interaction between a physical object in the scene and the virtual object is detected based on coordinates of the virtual object and the obtained depth values.