Abstract: Using an on-vehicle camera mounted on a vehicle to view the face of a driver as an imaging object, an image processing system judges the presence/absence of the imaging object in the image. An average luminance of an image when light of a particular wavelength is irradiated in an imaging direction is compared to an average luminance of an image imaged when no light is irradiated. When the difference between the average luminance values is equal to a reference value or less, it is judged that the imaging object is absent in the image by imaging.

Abstract: Using an on-vehicle camera mounted on a vehicle to view the face of a driver as an imaging object, an image processing system judges the presence/absence of the imaging object in the image. An average luminance of an image when light of a particular wavelength is irradiated in an imaging direction is compared to an average luminance of an image imaged when no light is irradiated. When the difference between the average luminance values is equal to a reference value or less, it is judged that the imaging object is absent in the image by imaging.

Abstract: An alarm system includes a miniature camera (10), a loudspeaker (20), a vehicle speed sensor (30), a longitudinal G sensor (40), a lateral G sensor (50) and an on-vehicle unit (60). A CPU (60a) of the on-vehicle unit (60) executes respective programs (61)–(64) in a ROM (60h), thereby outputting, if a traveling distance during a period for which a driver D continues to take an abnormal behavior exceeds a predetermined value when a traveling state of an automobile is kept stable, an alarm corresponding to a magnitude of the excess over the predetermined value from the loudspeaker (20). The alarm system is thus configured and is therefore capable of exactly outputting the alarm when a danger actually rises.

Abstract: Obtaining an image frame picked up by a camera 2 through a cable C, a CPU 10 of a computer 1 identifies an eye area in the image frame and stores a template indicating the identified area as a tracking template. Moreover, the CPU 10 identifies an eye area in an image frame to be obtained subsequently on the basis of the tracking template, and calculates a correlation value between the template of the identified area and the tracking template. Furthermore, when the calculated correlation value is larger than a threshold stored in an HD 11 in advance, the CPU 10 stores the template indicating the identified area in the RAM 12 as a tracking template, so as to update an eye area in a series of two image frames in chronological order.

Abstract: A vehicle-mounted image processor in which image analysis for judging the possibility of a danger, e.g., crash, can be carried out accurately even when the speed of a vehicle is high. The vehicle-mounted image processor comprises a means for storing a specified volume of image data delivered from a vehicle-mounted camera, a means performing image analysis only of the image data in a specified range of the latest image data stored in the image data storage means, and a processing object control means for allowing the image analysis means to grasp the moving speed of the vehicle, to specify an object being processed such that the size and the position thereof has a negative correlation with the moving speed of the vehicle in the image data stored in the image data storage means, and to perform image analysis on the image data in the specified range.

Abstract: An alarm system includes a miniature camera (10), a loudspeaker (20), a vehicle speed sensor (30), a longitudinal G sensor (40), a lateral G sensor (50) and an on-vehicle unit (60). A CPU (60a) of the on-vehicle unit (60) executes respective programs (61)-(64) in a ROM (60h), thereby outputting, if a traveling distance during a period for which a driver D continues to take an abnormal behavior exceeds a predetermined value when a traveling state of an automobile is kept stable, an alarm corresponding to a magnitude of the excess over the predetermined value from the loudspeaker (20). The alarm system is thus configured and is therefore capable of exactly outputting the alarm when a danger actually rises.

Abstract: An image sensor section and a millimeter-wave sensor section separately detect objects. A sensor matching section determines whether the objects detected by the image sensor section and the millimeter-wave sensor section are one and the same object. If the objects are one and the same object, the sensor matching section estimates a position of the obstacle after a certain period. A collision prediction section determined whether there is going to be a collision between the vehicle and the object 50 from the position estimated by the sensor matching section.

Abstract: An image sensor section and a millimeter-wave sensor section separately detect objects. A sensor matching section determines whether the objects detected by the image sensor section and the millimeter-wave sensor section are one and the same object. If the objects are one and the same object, the sensor matching section estimates a position of the obstacle after a certain period. A collision prediction section determined whether there is going to be a collision between the vehicle and the object 50 from the position estimated by the sensor matching section.

Abstract: Obtaining an image frame picked up by a camera 2 through a cable C, a CPU 10 of a computer 1 identifies an eye area in the image frame and stores a template indicating the identified area as a tracking template. Moreover, the CPU 10 identifies an eye area in an image frame to be obtained subsequently on the basis of the tracking template, and calculates a correlation value between the template of the identified area and the tracking template. Furthermore, when the calculated correlation value is larger than a threshold stored in an HD 11 in advance, the CPU 10 stores the template indicating the identified area in the RAM 12 as a tracking template, so as to update an eye area in a series of two image frames in chronological order.

Abstract: Information about a driver of a vehicle is received from the vehicle. A driving response estimating section estimates any one or both of driving response and behavior recommendable to the driver. The estimated information for driving response and behavior is transmitted to the vehicle. Another information about the driver after transmission of the estimated driving response and behavior information to the driver is received. A comparing section compares the received information with the estimated driving response and behavior information. An insurance premium setting section sets a premium to the driver.

Abstract: A rare earth silicate phosphor co-activated by cerium and terbium which is expressed by the general structural formula:Ln.sub.2(1-x-y) O.sub.3.zSiO.sub.2 :Ce.sub.2x.Tb.sub.2ywhere:Ln is at least one rare earth element selected from the group consisting of yttrium, lanthanum, gadolinium and lutetium,x is 1.times.10.sup.-3 to 3.times.10.sup.-1 gram atom per gram atom of all the rare earth elements,y is 3.times.10.sup.-2 to 3.times.10.sup.-1 gram atom per gram atom of all the rare earth elements,z is 0.8 to 2.2 mol per mol of rare earth oxide,and the phosphor efficiently emits green rays when excited by ultraviolet rays.

Abstract: A phosphor having a general formula;nReF.sub.3.mAfCl:Eu.sub.xwhere"Re" is a rare earth element,"A" is an alkaline earth element,"x" is not smaller than 1.times.10.sup.-4 and not larger than 1, and"n/m" is not smaller than 1.times.10.sup.-3 and not larger than 7.times.10.sup.-1.Further addition of samarium enables the phosphor to exhibit a decreased afterglow.