JPS62113279A - Detecting method for moving body - Google Patents

Abstract

PURPOSE:To detect the image of a moving body as it is and to perform excellent moving body detection by extracting the difference between input data and extracted data and obtaining data on the moving body in the input data. CONSTITUTION:The input data FRA 31 is processed by multipliers 1A and 1B and an adder 4 to extract data on a fixed pattern from the input data, and this extracted data is stored in a data memory 3. The difference between the input data and extracted data is extracted by a circuit 5 to obtain data on the moving body in the input data. Namely, fixed background data Y is subtracted from the input data Xn and only data Zn(=Xn-Y) on the pattern of the moving body which moves in the background is led out of the difference circuit 5. Consequently, not only the contour of the moving body, but also the body itself are detected, so the image of the moving body is obtained accurately, thus improving the detection of the moving body.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a moving object detection method for extracting the movement of an object, for example in video image processing.

[Summary of the invention]

The present invention relates to a moving object detection method, in which a moving object is detected in its original image by processing input data, extracting fixed pattern data, and extracting the difference between this extracted data and human input data to obtain moving object data. , which enables good moving object detection.

[Conventional technology]

For example, in image processing, when detecting the movement of an object, conventionally, for example, a difference between two pieces of time-series data is detected.

However, with this method, only the outline of the moving object can be obtained, and furthermore, the outline in the direction of movement of the moving object is thick, and the outline in the direction perpendicular to it is thin, making it difficult to supplement an accurate image of the moving object. Ta.

By the way, the applicant has previously developed a digital signal processing device (Japanese Unexamined Patent Publication No. 58-21581) that can be applied to video image processing.
(See Publication No. 3).

In other words, Fig. 2 explains the outline of the device. In the figure, (21) is the input terminal, and (22) is the input/output control (
IOc) system, (23) is input image memory (VIM)
(24) is the signal processing (PIF) system, (25) is the address generation (PVP) system, and (26) is the output image/
%! 7 (VIM) system, (27) is the main control n (TC) system,
(28) is an output terminal.

In this device, an analog video signal from a video camera (not shown) or the like is supplied to an input terminal (21). This video signal is supplied to the IOC system (22),
V converted into predetermined digital data by D conversion etc.
Written to the IM system (23).

In addition to digital data, the IOC system (22) supplies signals for controlling the VIM system (23) from the outside, such as a clock, a dominant mode signal, an address, and a write control signal.

In addition, to this VIM system (23), the address of digital data to be processed from the PVP system (25), write control, read mode, data selection, etc. are input from the inside of the VIM system (23).
A signal is supplied to control the address, and the data at this address is
It is transferred to and processed by the N2 system (24). Furthermore, the data processed by the PN2 system (24) is transferred to the VIM system (
26), and 1:(7) V 1M system (26) 2P V P system (25) is supplied with addresses and the like.

The digital data processed by this is converted into VIM system (
26).

In addition: (7) VIM type (26) Nimo Natsu OC type (2
2), and the read digital data is supplied to the IOC system (22),
The signal is converted into a predetermined analog video signal by DA conversion or the like, and is output to an output terminal (28).

Note that the TC system (27) supplies designation signals such as mode and system, clock signals, etc. to each of the groups (22) to (26).

In addition, a start signal of a frame to be processed is supplied from the IOC system (22) to the pvp system (25), and the pvp system (
25) supplies a processing end signal to the IOC system (22).

In this way, the video signal supplied to the input terminal (21) is digitally processed and taken out to the output terminal (28), but according to the above-mentioned device, the functions necessary for processing are provided in each system. (22) to (26), each group (
22) to (26) can be provided with independent control circuits and each can be controlled by an independent microprogram, so the burden on the software for each unit is small (high-speed processing can be performed with a simple program). This makes it possible, for example, to process video signals in real time.

By the way, in the above-mentioned device, the processing content is PN2 system (
24) and other microprograms. Therefore, by rewriting these microprograms, the contents of processing can be changed.

In other words, Fig. 3 shows the specific configuration of the PN2 system (24), and this PN2 system (24) actually consists of a large number (for example, 60
Processor units (30) (30a) (30a) are provided in parallel, and in the figure, two (30a) (30a)
0b) are shown. In this figure, VIM
Digital data from the system (23) or (26) is input to an input register (FRA) (31a) provided for each processor section (30a) (30b)...
(31b) ..., and these registers are supplied to the VIM system (23) by the PVP system (25).
It is controlled in accordance with the successive addresses of (26), and a predetermined amount of data required for each processor section is stored.

These registers (31a) (31b)
The data written in... are respectively processed by the calculation section (32a).
(33a).

(32b) (33b) ... is supplied. Each of these calculation units is provided with an adder/subtractor, a multiplier, a coefficient memory, and a data memory, and a control unit (34
a) (34b) Perform linear and nonlinear data conversion operations according to control signals from... Furthermore, this calculation result is sent to the calculation section (33a) (33b)
..., and this calculation section (33a) (33b
) ... is changed to VIM system (
It is controlled according to the write address of (23) and (26), and the calculation result is written to the desired part of the VIM system (23) and (26).

In this case, the control units (34a) (34b
)... are formed according to microprograms written in microprogram memories (MPM) (35a) (35b)... So this M
PM (35a) (35b)... have a so-called RAM configuration, and this MPM (35a) (35b)
Changed parts (36a) (36b) ・
By writing a microprogram from the outside through ..., it is possible to change the processing content by rewriting the microprogram.

The inventor of the present application has focused on this point.

[Problem that the invention seeks to solve]

The above-mentioned conventional techniques have problems such as being able to obtain only the outline of a moving object and not being able to provide an accurate image of the moving object.

[Means for solving problems]

The present invention processes input data (FRA (31)) (
Multipliers (IA) (IB), adder (4)) are used to extract fixed pattern data from the input data and store this extracted data (data memory (3)). Difference between the data and the above extracted data (
This is a moving object detection method in which data of a moving object in the input data is obtained by extracting the circuit (5).

[Effect]

According to this, fixed patterns in input data are extracted,
Since the difference between this fixed pattern and the input data is obtained, the image of the moving object is detected as it is, and good moving object detection can be performed.

〔Example〕

FIG. 1 shows a PIP system (24
) shows a functional block of the processing processor section (30).

In the figure, input data Xn from FRA (31) is supplied to a multiplier (IA), multiplied by weighting coefficient A from coefficient memory (2), and accumulated data Yn-t from data memory (3). is supplied to the multiplier (1B) and multiplied by the weighting coefficient B also from the coefficient memory (2). Furthermore, the signals from these multipliers (l^) (IB) are supplied to an adder (4), and the added data is written into the data memory (3). Note that the above-mentioned weighting coefficients A and B are set as follows: A+B=1.

As a result, the addition data Yn newly written to the data memory (3) becomes Yn = AXn + BYn-t, and this data Yn is further fed back to the multiplier (IB) as cumulative data, and this process is repeated. The displacement pattern in the input data Xn is removed, and only the fixed pattern is extracted.

That is, in the above, input data Xn and cumulative data Y
The part that remains unchanged (fixed pattern) between nt is A+B
= 1, so the next cumulative data Yn is kept as it is.
It is said that On the other hand, the changed part (fixed pattern - displacement pattern) is attenuated at the rate of weighting coefficients A and B and becomes the next cumulative data Yn. Attenuated proportionately. As a result, a fixed pattern in the input data Xn is extracted.

Further, this extracted fixed pattern data is supplied to a difference circuit (5), and the difference between it and the input data Xn from the above-mentioned FRA (31) is extracted. This difference data is supplied to the VIM system (23) (26) as output data.

Therefore, in the method used for this device, the input data
Fixed background data Y is subtracted from the subtraction circuit (5), and only data 20 (=Xn - Y) of a pattern of a moving object moving in the background is taken out from the difference circuit (5).

This is how moving object detection is performed. According to the method described above, a moving object can be detected not only by its outline but also as an object, so an image of the moving object can be obtained accurately and the moving object can be detected well. can.

In the above example, the fixed pattern (background) is extracted by weighting and adding the input data and cumulative data.
For example, this may be done by adding or subtracting a constant depending on the magnitude of the input data and the accumulated data, or other fixed pattern extraction methods may be employed.

〔Effect of the invention〕

According to the present invention, a fixed pattern in input data is extracted and the difference between this fixed pattern and the input data is obtained, so that the image of a moving object is detected as it is, and good moving object detection can be performed. Now you can.

[Brief explanation of drawings]

FIG. 1 is a block diagram of an example of the present invention, and FIGS. 2 and 3 are diagrams for explaining conventional techniques. (l^') (IB) is a multiplier, (2) is a coefficient memory, (3) is a data memory, (4) is an adder, and (5) is a differential circuit. Figure 1

Claims (1)

[Scope of Claims] It has a mechanism for processing input data to extract fixed pattern data from the input data and for storing this extracted data, and for extracting the difference between the input data and the extracted data to extract the fixed pattern data from the input data. A moving object detection method that obtains data on moving objects in input data.