Megachips Corporation

Shohei Nomoto

Yusuke Mizuno

Yuki Haraguchi

Yujiro Tani

A SIMD processor with a versatile hardware configuration performs efficient range determination that is frequently used in image processing and recognition. A SIMD processor includes a range determination arithmetic unit including first and second registers that can store two values. The SIMD processor uses three values, namely, these two values and the value of source data input from a register file unit, to flexibly set the processing target data for range determination and the two boundaries defining the processing target range of the range determination.

SIMD processor

A very long instruction word (VLIW) processor that performs efficient processing including extended bits operations is provided. The VLIW processor includes an instruction control unit, a register file unit, and an instruction execution unit. The instruction execution unit includes a plurality of slots, and a state register arranged between the second slot and the third slot to transfer N-bit data between the second and third slots. The VLIW processor stores data output from the third slot into the state register and uses the data, and thus achieves efficient processing including bit-expanded operations, such as processing performed in response to instructions commonly used in image processing, image recognition, and other processing, while preventing scaling up of the circuit.

VLIW processor including a state register for inter-slot data transfer and extended bits operations

In a human detection device, an edge extractorcarries out edge extraction processing to an input imageand produces a horizontal edge image. A shoulder detectordetects a shoulder center and a shoulder width of a person included in the input image. A foot detectordetects a foot position of the person based on the detected shoulder center and shoulder width. A top detectordetects a top position of the person based on the detected shoulder center and shoulder width. A size determinerdetermines a horizontal size of the person based on the detected shoulder width and determines a vertical size of the person based on the detected foot position and top position. The size determinerproduces human range dataincluding the determined sizes, the shoulder center position, the foot position, and the top position.

Human detection device

An object detection apparatus, a program, and an integrated circuit enable the contour of an object to be detected in an appropriate manner in an image including an object and its background with almost no contrast between them in a predetermined direction of the image. A vertical direction edge extraction filter in a filtering unit extracts, from an input image, a contour component in a first direction (e.g., vertical direction) of the image. A horizontal direction continuity detection unit in the filtering unit detects, in a second direction (e.g., horizontal direction) perpendicular to the first direction, the continuity of the contour component extracted by the vertical direction edge extraction filter. An object area detection unit detects (estimates) the contour of the object in the image based on the continuity of the contour component in the second direction (e.g., horizontal direction) detected by the horizontal direction continuity detection unit.

Object detection apparatus, object detection method, storage medium, and integrated circuit

It is an object of the present invention to achieve an object detection apparatus, a program, and an integrated circuit each of which is capable of appropriately detecting an axially symmetric object in an image, whatever image is to be processed, without performing any complicated thresholding. The object detection apparatus includes a processing object region determination unit, a variance acquisition unit, a matching determination unit, and an object region detection unit. The processing object region determination unit sets a symmetry axis in an image region included in an image and divides the image region into a determination image region and a reference image region so as to be line symmetric with respect to the symmetry axis. The variance acquisition unit acquires a degree of variance of image feature amount in the image region. The matching determination unit acquires a matching value between the determination image region and the reference image region and determines the symmetry between the determination image region and the reference image region with respect to the symmetry axis on the basis of a corrected matching value which is obtained by correcting the acquired matching value in accordance with the degree of variance. The object region detection unit detects an image region which is line symmetric with respect to the symmetry axis on the basis of a determination result from the matching determination unit.

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Osaka, Japan

Shohei Nomoto