Abstract: An object is to make it possible to determine and output an accurate current position reliably in a short time and at a low cost, even in environments where signals from positioning satellites are complicatedly affected by structures, geographical features, etc. Therefore, the present invention provides a position detection device comprising: a receiving unit receiving signals from a positioning satellite, and calculating a pseudo range to the positioning satellite based on the signals, and a positioning unit calculating an initial position based on the pseudo range calculated by the receiving unit, calculating the pseudo range to the positioning satellite at plural positions around the initial position using a three-dimensional map data and a ray-tracing method, selecting candidate positions from the plural positions based on the pseudo range, and deciding a current position based on the candidate positions within such a short distance from the initial position that predetermined conditions are satisfied.

Abstract: A surveillance camera terminal includes an imaging means that outputs a frame image, an imaging visual field control means that changes the imaging visual field of the imaging means in a surveillance area, an object extracting means that extracts an object being imaged by processing the frame image taken by the imaging means, a tracking means that detects a position of the object in the surveillance area based on a position of the object extracted by the object extracting means on the frame image and the imaging visual field of the imaging means, an imaging visual field storage means that stores an imaging visual field, and detection means that detects whether or not the object being tracked by the tracking means has traveled to a position near a handover area for handover of the object to another surveillance camera terminal.

Abstract: An object is to make it possible to determine and output an accurate current position reliably in a short time and at a low cost, even in environments where signals from positioning satellites are complicatedly affected by structures, geographical features, etc. Therefore, the present invention provides a position detection device comprising: a receiving unit receiving signals from a positioning satellite, and calculating a pseudo range to the positioning satellite based on the signals, and a positioning unit calculating an initial position based on the pseudo range calculated by the receiving unit, calculating the pseudo range to the positioning satellite at plural positions around the initial position using a three-dimensional map data and a ray-tracing method, selecting candidate positions from the plural positions based on the pseudo range, and deciding a current position based on the candidate positions within such a short distance from the initial position that predetermined conditions are satisfied.

Abstract: A behavior analysis device has an object extraction portion that processes a frame image of an imaging area being imaged by an imaging device and extracts an object being imaged, a position detection portion that detects a position in the imaging area, for each object extracted by the object extraction portion, a posture estimation portion that estimates an posture of the object, for each object extracted by the object extraction portion, and a behavior determination portion that determines a behavior of the object, for each object extracted by the object extraction portion, based on the position in the imaging area that is detected by the position detection portion and the posture estimated by the posture estimation portion.

Abstract: A network terminal has communication section that communicates with other network terminals connected via a network, time-series data creation section that, at timing set beforehand, creates time information including a correspondence between an identification number of the own network terminal and a current time measured by a timer of the own network terminal and creates time-series data registering the time information, and additional registration section that, when the communication section receives the time-series data transmitted from another network terminal, creates time information including a correspondence between the identification number of the own network terminal and a current time measured by the timer of the own network terminal and additionally registers the time information to the time-series data received this time.

Abstract: A monitoring camera terminal has an imaging portion for imaging a monitoring target area allocated to an own-terminal, an object extraction portion for processing a frame image imaged by the imaging portion to extract an imaged object, an ID addition portion for adding an ID to the object extracted by the object extraction portion, an object map creation portion for creating, for each object extracted by the object extraction portion, an object map associating the ID added to the object with a coordinate position in the frame image, and a tracing portion for tracing an object in the monitoring target area allocated to the own-terminal using the object maps created by the object map creation portion.

Abstract: A behavior analysis device has an object extraction portion that processes a frame image of an imaging area being imaged by an imaging device and extracts an object being imaged, a position detection portion that detects a position in the imaging area, for each object extracted by the object extraction portion, a posture estimation portion that estimates an posture of the object, for each object extracted by the object extraction portion, and a behavior determination portion that determines a behavior of the object, for each object extracted by the object extraction portion, based on the position in the imaging area that is detected by the position detection portion and the posture estimated by the posture estimation portion.

Abstract: A surveillance camera terminal includes an imaging means that outputs a frame image, an imaging visual field control means that changes the imaging visual field of the imaging means in a surveillance area, an object extracting means that extracts an object being imaged by processing the frame image taken by the imaging means, a tracking means that detects a position of the object in the surveillance area based on a position of the object extracted by the object extracting means on the frame image and the imaging visual field of the imaging means, an imaging visual field storage means that stores an imaging visual field, and detection means that detects whether or not the object being tracked by the tracking means has traveled to a position near a handover area for handover of the object to another surveillance camera terminal

Abstract: A monitoring camera terminal has an imaging portion for imaging a monitoring target area allocated to an own-terminal, an object extraction portion for processing a frame image imaged by the imaging portion to extract an imaged object, an ID addition portion for adding an ID to the object extracted by the object extraction portion, an object map creation portion for creating, for each object extracted by the object extraction portion, an object map associating the ID added to the object with a coordinate position in the frame image, and a tracing portion for tracing an object in the monitoring target area allocated to the own-terminal using the object maps created by the object map creation portion.

Abstract: A network terminal has communication section that communicates with other network terminals connected via a network, time-series data creation section that, at timing set beforehand, creates time information including a correspondence between an identification number of the own network terminal and a current time measured by a timer of the own network terminal and creates time-series data registering the time information, and additional registration section that, when the communication section receives the time-series data transmitted from another network terminal, creates time information including a correspondence between the identification number of the own network terminal and a current time measured by the timer of the own network terminal and additionally registers the time information to the time-series data received this time.

Abstract: To track moving objects in a smaller number of temporarily stored time-series pictures, regarding N consecutive pictures (N?2) within the time-series pictures, a method comprises the steps of: (a) by assigning the same ID to adjacent blocks if the absolute value of the difference between motion vectors of the blocks are less than a predetermined value, assigning different IDs to moving objects overlapping in a picture; (b) judging whether or not a first object of a first block group assigned a first ID and a second object of a second block group assigned a second ID are in contact with each other in each of the N consecutive pictures, and further each correlation between the first objects of temporally adjacent pictures in the N consecutive pictures is more than or equal to a predetermined value; and (c) tracking the first and second objects backward in time after the judgment at step (b) is positive.

Abstract: A feature amount of an inter-mobile unit relative movement are detected as an observation amount by an observation amount detecting section 26, time series of the observation amounts are stored as an observation series into a storage section 27 to calculate a similarity of the observation series to a predetermined collision observation series by a classification section 28. A determination section 29 determines to be a collision accident if, in a case where the similarity is larger than a predetermined value, a mobile unit associated with the similarity is at rest in a stoppage prohibition area set in a storage section 30 and another mobile unit is moving, and to be a mobile unit failure if collision determination conditions except for the similarity are met.

Abstract: A feature amount of an inter-mobile unit relative movement are detected as an observation amount by an observation amount detecting section 26, time series of the observation amounts are stored as an observation series into a storage section 27 to calculate a similarity of the observation series to a predetermined collision observation series by a classification section 28. A determination section 29 determines to be a collision accident if, in a case where the similarity is larger than a predetermined value, a mobile unit associated with the similarity is at rest in a stoppage prohibition area set in a storage section 30 and another mobile unit is moving, and to be a mobile unit failure if collision determination conditions except for the similarity are met.

Abstract: A feature amount of an inter-mobile unit relative movement are detected as an observation amount by an observation amount detecting section 26, time series of the observation amounts are stored as an observation series into a storage section 27 to calculate a similarity of the observation series to a predetermined collision observation series by a classification section 28. A determination section 29 determines to be a collision accident if, in a case where the similarity is larger than a predetermined value, a mobile unit associated with the similarity is at rest in a stoppage prohibition area set in a storage section 30 and another mobile unit is moving, and to be a mobile unit failure if collision determination conditions except for the similarity are met.

Abstract: By narrow region communication between a gate side communication apparatus (G-COM) and a mobile unit side communication apparatus (M-COM) passing through an on-road real gate at an interconnection, the G-COM assigns a real identification code (R-ID) ID1 including an intersection number to the M-COM after receiving a R-ID ID0 having been assigned from the M-COM, while time series pictures of the intersection including all real gates are taken by a camera 15 installed to assign a virtual identification code (V-ID) to a mobile unit passing through a slit, corresponding to a real gate, in pictures by processing them. In response to the assignment of the R-ID, the R-ID is brought into correspondence with the V-ID. The mobile unit is tracked and when an anomalous behavior thereof is detected in pictures, warning information is transmitted to the M-COM using the corresponding R-ID.

Abstract: Each frame of time-series pictures shot by a camera is converted to a spatial differential frame picture by the following equations: H(i,j)=?|G(i+di,j+dj)?G(i,j)|/(Gi,j,max/Gmax), I=Gmax/{1+exp(?0.02(H?80))}, where ? denotes a sum over di=?1 to 1 and dj=?1 to 1, Gi,j,max denotes the maximum pixel value of 3×3 pixels having its center at the i-th row and j-th column, and Gmax denotes the assumable maximum value 255 of the pixel value G(i, j). Moving objects at a time t is discriminated based on a correlation between spatial differential frame pictures at times (t?1) and t and a discrimination result of moving objects included in the spatial differential frame picture at the time (t?1).

Abstract: To track moving objects in a smaller number of temporarily stored time-series pictures, regarding N consecutive pictures (N?2) within the time-series pictures, a method comprises the steps of: (a) by assigning the same ID to adjacent blocks if the absolute value of the difference between motion vectors of the blocks are less than a predetermined value, assigning different IDs to moving objects overlapping in a picture; (b) judging whether or not a first object of a first block group assigned a first ID and a second object of a second block group assigned a second ID are in contact with each other in each of the N consecutive pictures, and further each correlation between the first objects of temporally adjacent pictures in the N consecutive pictures is more than or equal to a predetermined value; and (c) tracking the first and second objects backward in time after the judgment at step (b) is positive.

Abstract: A feature amount of an inter-mobile unit relative movement are detected as an observation amount by an observation amount detecting section 26, time series of the observation amounts are stored as an observation series into a storage section 27 to calculate a similarity of the observation series to a predetermined collision observation series by a classification section 28. A determination section 29 determines to be a collision accident if, in a case where the similarity is larger than a predetermined value, a mobile unit associated with the similarity is at rest in a stoppage prohibition area set in a storage section 30 and another mobile unit is moving, and to be a mobile unit failure if collision determination conditions except for the similarity are met.

Abstract: A feature amount of an inter-mobile unit relative movement are detected as an observation amount by an observation amount detecting section 26, time series of the observation amounts are stored as an observation series into a storage section 27 to calculate a similarity of the observation series to a predetermined collision observation series by a classification section 28. A determination section 29 determines to be a collision accident if, in a case where the similarity is larger than a predetermined value, a mobile unit associated with the similarity is at rest in a stoppage prohibition area set in a storage section 30 and another mobile unit is moving, and to be a mobile unit failure if collision determination conditions except for the similarity are met.

Abstract: Each frame of time-series pictures shot by a camera is converted to a spatial differential frame picture by the following equations: