CN109948626A - A kind of object detection method and device - Google Patents
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Abstract
The invention discloses a kind of object detection method and device, method includes: acquisition image to be detected, and for the detection block size of image to be detected；And calculate the integrated value of each pixel；Judge whether the integrated value for detecting the pixel in frame region is greater than setting threshold value；If, it will test frame and slide the first step-length, obtain the pixel within the scope of correspondingly-sized, obtain the integrated value of each pixel, and return to execute the step of whether integrated value for detecting the pixel in frame region is greater than setting threshold value judged, it is completed until image to be detected is detected；If not, it will test frame and slide the first step-length, obtain the pixel within the scope of correspondingly-sized, obtain the integrated value of each pixel, and return to execute the step of whether integrated value for detecting the pixel in frame region is greater than setting threshold value judged, it is completed until image to be detected is detected.Using the embodiment of the present invention, the consumption of memory can be saved.
Description
Technical field
The present invention relates to a kind of detection method and device, it is more particularly to a kind of object detection method and device.
Background technique
Image object detection has become important subject in machine vision, it is by image procossing, pattern-recognition etc.
Subject organically combines, and forms a kind of technology that dbjective state is found, detected and judged from video image.Currently, a kind of ratio
More common detection algorithm is the detection (being discussed in detail see chapter 5) of Harr feature, and the detection of Harr feature is in target detection
A kind of effective technical method, needs that integrogram is cooperated to be further processed, and has that operation is low, there is certain recognition accuracy
The features such as.
Currently, needing the integrated value by each pixel in image to be detected to count when carrying out the detection of Harr feature
It calculates and is stored in memory, sliding detection then is carried out to image to be detected after calculating integral value using detection block, according to
Integrogram characteristic, picture is bigger, and integrogram value is bigger.It is H with height, width is Harr characteristic value needs for the image of W
The complete integrogram of two category feature value of sum, sqsum (for calculating variance) is saved simultaneously as a result, therefore, one time integrogram needs
Preservation partial data size is H*W* (bit wide of the bit wide+sqsum of sum).Since the quantity of above-mentioned data is more, it is therefore desirable to
Occupy more memory headroom.Therefore, the prior art exists, the more technical problem of committed memory.
Summary of the invention
Technical problem to be solved by the present invention lies in a kind of object detection method and device is provided, to solve existing skill
The more technical problem of EMS memory occupation in art.
The present invention is to solve above-mentioned technical problem by the following technical programs:
The present invention provides a kind of object detection methods, which comprises
Image to be detected is obtained, and for the detection block size of described image to be detected, and the detection block size is not
Greater than the size of image to be detected；
The pixel within the scope of correspondingly-sized is obtained in described image to be detected according to the size of the detection block, and is counted
Calculate the integrated value of each pixel；
Judge whether the integrated value of the pixel in the detection frame region is greater than setting threshold value；
If so, the detection block is slided the first step-length, obtains the picture within the scope of correspondingly-sized according to horizontal glide direction
Vegetarian refreshments, obtains the integrated value of each pixel, and returns to the product for executing the pixel in the judgement detection frame region
Whether score value is greater than the step of setting threshold value, until the detection block slides into the edge of described image to be detected；
If it is not, the detection block is slided the second step-length, obtains the picture within the scope of correspondingly-sized according to horizontal glide direction
Vegetarian refreshments, obtains the integrated value of each pixel, and returns to the product for executing the pixel in the judgement detection frame region
Whether score value is greater than the step of setting threshold value, until the detection block slides into the edge of described image to be detected；
According to vertical sliding direction, the detection block is slided into the first step-length, obtains the pixel within the scope of correspondingly-sized,
The integrated value of each pixel is obtained, and the integrated value for returning to the pixel in the execution judgement detection frame region is
No the step of being greater than setting threshold value, until the target in described image to be detected is detected and completes.
Optionally, described according to horizontal glide direction, the detection block is slided into the first step-length, obtains correspondingly-sized range
Interior pixel, comprising:
It will test frame and slide the first step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased picture
Vegetarian refreshments will test the pixel being still located in detection frame region after frame slides as preimage vegetarian refreshments, by the newly-increased pixel
Set with the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
Optionally, described according to horizontal glide direction, the detection block is slided into the second step-length, obtains correspondingly-sized range
Interior pixel, comprising:
It will test frame and slide the second step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased picture
Vegetarian refreshments will test the pixel being still located in detection frame region after frame slides as preimage vegetarian refreshments, by the newly-increased pixel
Set with the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
Optionally, the integrated value for obtaining each pixel, comprising:
Obtain the integrated value of newly-increased pixel, and by the integral of the integrated value of the newly-increased pixel and the preimage vegetarian refreshments
Integrated value of the set of value as each acquired pixel.
Optionally, it according to vertical sliding direction, when the detection block is slided the first step-length, will frame shift with the detection
It is detached from the data of pixel integrated value in the pixel column of the first number of steps of the detection block when dynamic, is removed from memory.
The embodiment of the invention also provides a kind of object detecting device, described device includes:
Module is obtained, for obtaining image to be detected, and for the detection block size of described image to be detected, and it is described
Detection block size is not more than the size of image to be detected；
Computing module obtains within the scope of correspondingly-sized in described image to be detected for the size according to the detection block
Pixel, and calculate the integrated value of each pixel；
Judgment module, for judging whether the integrated value of the pixel in the detection frame region is greater than setting threshold value；
First sliding block, in the case where the judging result of the judgment module, which is, is, according to horizontal sliding side
To, by the detection block slide the first step-length, obtain correspondingly-sized within the scope of pixel, obtain the integral of each pixel
Value, and trigger the judgment module；
First sliding block, in the case where the judging result of the judgment module is no, according to horizontal sliding side
To, by the detection block slide the second step-length, obtain correspondingly-sized within the scope of pixel, obtain the integral of each pixel
Value, and trigger the judgment module；
Second sliding block obtains corresponding ruler for according to vertical sliding direction, the detection block to be slided the first step-length
Pixel in very little range, obtains the integrated value of each pixel, and triggers the judgment module.
Optionally, first sliding block, is used for:
It will test frame and slide the first step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased picture
Vegetarian refreshments will test the pixel being still located in detection frame region after frame slides as preimage vegetarian refreshments, by the newly-increased pixel
Set with the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
Optionally, first sliding block, is used for:
It will test frame and slide the second step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased picture
Vegetarian refreshments will test the pixel being still located in detection frame region after frame slides as preimage vegetarian refreshments, by the newly-increased pixel
Set with the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
Optionally, first sliding block, is used for:
Obtain the integrated value of newly-increased pixel, and by the integral of the integrated value of the newly-increased pixel and the preimage vegetarian refreshments
Integrated value of the set of value as each acquired pixel.
Optionally, the second sliding block, for according to vertical sliding direction, the detection block to be slided the first step-length
When, by the number of pixel integrated value in the pixel column for the first number of steps for being detached from the detection block when mobile with the detection block
According to being removed from memory.
The present invention has the advantage that compared with prior art
Each is individually calculated by each detection block when carrying out the identification of Harr feature using the embodiment of the present invention
The size of integrated value in detection block, the negligible amounts of the pixel calculated each time, required memory headroom is also less, relatively
In the size for the integrated value for calculating all pixels point first in the prior art, it is then store in memory, reduces accounting for for memory
With.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of object detection method provided in an embodiment of the present invention；
Fig. 2 is a kind of schematic illustration of object detection method provided in an embodiment of the present invention；
Fig. 3 is a kind of effect picture of Harr feature detection provided in an embodiment of the present invention；
Fig. 4 is a kind of schematic diagram of the first sliding detection of object detection method provided in an embodiment of the present invention；
Fig. 5 is a kind of schematic diagram of the first sliding detection of object detection method provided in an embodiment of the present invention；
Fig. 6 is the Memory control schematic diagram in a kind of object detection method provided in an embodiment of the present invention；
Fig. 7 is a kind of structural schematic diagram of object detecting device provided in an embodiment of the present invention.
Specific embodiment
It elaborates below to the embodiment of the present invention, the present embodiment carries out under the premise of the technical scheme of the present invention
Implement, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to following implementation
Example.
The embodiment of the invention provides a kind of object detection method and devices, just provided in an embodiment of the present invention first below
A kind of object detection method is introduced.
Fig. 1 is a kind of flow diagram of object detection method provided in an embodiment of the present invention, and Fig. 2 is the embodiment of the present invention
A kind of schematic illustration of the object detection method provided, as depicted in figs. 1 and 2, which comprises
S101: image to be detected is obtained, and for the detection block size of described image to be detected, and the detection block ruler
The very little size no more than image to be detected.
Illustratively, the image data of complete image to be detected is obtained, it is highly H that wherein width, which is W, the present embodiment
The value that the value of middle H is 640, W is 480.
Running integral figure is defined, the fixed width of integral graph region is complete integrogram width W, a height of detection window height.Definition
Detection window peak width is detect_w, is highly detect_h, and detec_w is 25, detec_h 35 in the present embodiment.
S102: the pixel within the scope of correspondingly-sized is obtained in described image to be detected according to the size of the detection block
Point, and calculate the integrated value of each pixel.
Illustratively, for the pixel in detection frame region 25*35 size, the integrated value of each pixel is calculated.
Under normal conditions, the integrated value of each pixel can be with are as follows:
Sum [x] [y] indicates the integrated value of respective coordinates, then the integrated value for increasing point newly is the previous point of current line
Integrated value adds cumulative (the including current point) of all point values before forefront, wherein x is the coordinate or the pixel pair
The line number answered；Y is the coordinate or the corresponding row number of the pixel.
S103: judge whether the integrated value of the pixel in the detection frame region is greater than setting threshold value；If so, executing
S104；If it is not, executing S105；
Illustratively, Fig. 3 is a kind of effect picture of Harr feature detection provided in an embodiment of the present invention.It can be set one
Detection unit carries out the detection of integrated value using detection unit；Judge whether detection block corresponding region is full using detection unit
Sufficient Harr characteristic value.
Fig. 4 is a kind of schematic diagram of the first sliding detection of object detection method provided in an embodiment of the present invention, such as Fig. 4
It is shown,
By taking the sum characteristic value in Harr characteristic value as an example, the region of frame institute's frame choosing of overstriking is the corresponding pixel of detection block
The region of point, the region in entire wire are all pixels point of image to be detected；Src [y] indicates the numerical value of y column coordinate,
Sum [x] [y] indicates coordinate is the integrated value of xth row y column.
The integrated value of each pixel in the region of detection block first time frame choosing is calculated first, for example, can be according to from a left side
The integrated value that each column are calculated to right sequence, often has been calculated the integrated value of a column pixel, while renewal sequence number:
Integral_col_num++；
Then, when Integral_col_num is equal to detection window width detect_w (A point in corresponding diagram), detection trigger
Device unit, while by trigger flag detect_trig=1, that is, show that detection unit has been triggered and is carrying out detection behaviour
Make.Under normal conditions, after detection unit end operation, trigger flag can be reset: detect_trig=0.
Meanwhile updating the condition triggered next time according to testing result, i.e., need which is completed in integrogram next time
Column could trigger next_trig_col_num (row number of next column).
Then, when the Harr feature of the detection zone is greater than or equal to predefined thresholding, S104 step is executed,
When the Harr feature of the detection zone is less than predefined thresholding, S105 step is executed.
Whenever the integrogram for completing corresponding detection window region, one-time detection unit, the meter of detection unit and integrogram are triggered
Calculation can execute parallel.
S104: according to horizontal glide direction, the detection block is slided into the first step-length, obtains the picture within the scope of correspondingly-sized
Vegetarian refreshments, obtains the integrated value of each pixel, and returns to the product for executing the pixel in the judgement detection frame region
Whether score value is greater than the step of setting threshold value, until the detection block slides into the edge of described image to be detected.
Specifically, can will test frame slides the first step-length in the horizontal direction, by the new pixel of the detection circle choosing
Point will test the pixel being still located in detection frame region after frame slides as preimage vegetarian refreshments, by institute as newly-increased pixel
The set of newly-increased pixel and the preimage vegetarian refreshments is stated as the pixel within the scope of acquired correspondingly-sized.
Illustratively, in this step, sliding step 1, the corresponding B into Fig. 4 of next_trig_col_num are arranged, i.e. Fig. 4
Middle secondary series to the region between column b is the detection frame region after sliding.
Integrated value due to increasing pixel newly is that the integrated value of the previous point of current line adds all points before forefront
Value adds up, and therefore, the calculating of newly-increased pixel can carry out incremental on original integrogram:
1st point: Sum [m+1] [0]=Sum [m] [0]+src [0]；
2nd point: Sum [m+1] [1]=Sum [m] [1]+src [0]+src [1]；
And so on.
The sliding process of detection block is described in detail below, for example, start time, the pixel of detection circle choosing
Region is the first row to fifth line, and first row is to the region of the 5th column；If slided when a length of 1 pixel of the first step
Detection block afterwards includes: the first row to fifth line, and the region that secondary series is arranged to the 6th, then and so on.
Then, judge whether next_trig_col_num is not more than Integral_col_num, i.e., currently calculated
Last column of detection block after the column (when forefront) of integrated value are up to or over sliding；
If so, illustrating the trigger condition for meeting detection device unit next time, the triggering of detection unit next time is carried out, together
When by trigger flag detect_trig=1.
If it is not, illustrating that the integral column for meeting trigger condition do not calculate completion, judgement is interrupted.
Then, it completes after forefront integrogram calculates, whether judgement symbol detect_trig is 1, illustrates detection dress for 1
It sets unit calling, then directly carries out the operation of next column integrogram；It is called again after the completion of detection device is called.If
Detect_trig=0 illustrates that detection device unit free, next_trig_col_num are not more than Integral_col_num,
Detection trigger unit slided after detection block in pixel integrated value detection.Then proceed to row next column integrogram fortune
It calculates.
It moves in circles in the manner described above, until the right side boundary of the detection block in Fig. 4 reaches mapping to be checked shown in Fig. 4
The right side edge of picture.
Fig. 5 is a kind of schematic diagram of the first sliding detection of object detection method provided in an embodiment of the present invention, such as Fig. 5
Shown, detection process shown in fig. 5 is identical as detection process principle shown in Fig. 4, and difference is only the difference of glide direction.
Further, the integrated value of available newly-increased pixel, and by the integrated value of the newly-increased pixel with it is described
Integrated value of the set of the integrated value of preimage vegetarian refreshments as each acquired pixel.
It should be noted that when detection block is slided, it will usually it is slided simultaneously in vertical and horizontal direction,
I.e. the glide direction of detection block is mutually orthogonal both direction.
Using the above embodiment of the present invention, every sliding is primary, only calculates the integrated value of newly-increased pixel, examines relative to calculating
Survey the integrated value of all pixels point in frame, it is possible to reduce the calculation amount of integrated value.
S105: according to horizontal glide direction, the detection block is slided into the second step-length, obtains the picture within the scope of correspondingly-sized
Vegetarian refreshments, obtains the integrated value of each pixel, and returns to the product for executing the pixel in the judgement detection frame region
Whether score value is greater than the step of setting threshold value, until the detection block slides into the edge of described image to be detected.
Specifically, can will test frame slides the second step-length in the horizontal direction, by the new pixel of the detection circle choosing
Point will test the pixel being still located in detection frame region after frame slides as preimage vegetarian refreshments, by institute as newly-increased pixel
The set of newly-increased pixel and the preimage vegetarian refreshments is stated as the pixel within the scope of acquired correspondingly-sized.
The sliding process of detection block is described in detail below, for example, start time, the pixel of detection circle choosing
Region is the first row to fifth line, and first row is to the region of the 5th column；If a length of 1 pixel of the first step, the second step-length
When for 2 pixels, then the detection block after sliding includes:
Second row is to fifth line, and third is arranged to the region of the 7th column, then and so on.
In this step, sliding step 2, the corresponding C into figure of next_trig_col_num are arranged.That is in Fig. 4 third arrange to
Region between column c is the detection frame region after sliding.
Illustratively, the Computing Principle in S105 step is identical as the Computing Principle in S104 step, and difference is only to slide
The difference of dynamic step-length, details are not described herein for the embodiment of the present invention.
S106: according to vertical sliding direction, the detection block is slided into the first step-length, obtains the picture within the scope of correspondingly-sized
Vegetarian refreshments, obtains the integrated value of each pixel, and returns to the product for executing the pixel in the judgement detection frame region
Whether score value is greater than the step of setting threshold value, until the target in described image to be detected is detected and completes.
Illustratively, in S104 step or S105 step, as shown in figure 4, the right side boundary of detection block reaches Fig. 4 institute
The right side edge of the image to be detected shown illustrates that the sliding of this horizontal direction is over.
It will test frame and slide the first step-length in vertical direction, if a length of 1 pixel of the first step, detection block is vertical
The pixel region for including after sliding can be with are as follows:
Second row to the 6th row, and first row to the 6th column region pixel；
Or be, shown in Fig. 4, the second row to the 6th row, and the 10th arranges to the pixel in the region of the 15th column.
After detection block vertical sliding motion, horizontal sliding is then carried out in the second row to the region of the 6th row, then, is being examined
Survey frame rightmost side edge reach the rightmost side edge of image to be detected after, or at the leftmost side edge of detection block reach to be checked
Behind the leftmost side edge of altimetric image, then vertical sliding motion is carried out, and so on, until completing all Lis Hartel signs in band detection image
It is worth the detection of (target).It is understood that the detection method of Lis Hartel value indicative is the prior art, the embodiment of the present invention is herein not
It repeats again.
It is individually calculated when carrying out the identification of harr feature by each detection block using embodiment illustrated in fig. 1 of the present invention
The size of integrated value in each detection block, the negligible amounts of the pixel calculated each time, required memory headroom also compared with
It is few, compared with the existing technology in calculate first all pixels point integrated value size, be then store in memory, reduce in
The occupancy deposited.
In a kind of specific embodiment of the embodiment of the present invention, according to vertical sliding direction, the detection block is slided
When dynamic first step-length, by pixel in the pixel column for the first number of steps for being detached from the detection block when mobile with the detection block
The data of integrated value, are removed from memory.
Fig. 6 is the Memory control schematic diagram in a kind of object detection method provided in an embodiment of the present invention, as shown in fig. 6,
Started for the first time using first time detection buffer initial address when memory in corresponding diagram 6, it, will after the completion of detecting first time
The occupied memory release of the integrated value of first row or the first row in this time detection, by increasing pixel in detecting for the second time newly
Integrated value is called, and therefore, second of detection buffer initial address in Fig. 6, which is physically located detection buffer for the first time, to be terminated
Before address.And so on, it is completed until image to be detected is detected.
The reset procedure of memory is described in detail below,
(1), as shown in figure 4, detection block first carries out horizontal sliding from left to right, for example, start time, detection circle choosing
Pixel region be the first row to fifth line, and first row is to the region of the 4th column.The first row is stored in memory extremely at this time
Fifth line, and the integrated value of first row pixel into the area encompassed of the 4th column.
If the step-length that detection block is slided in the horizontal direction is the first step-length, if a length of pixel of the first step,
Then the pixel region of the detection circle choosing after horizontal sliding is the first row to fifth line, and the region that secondary series is arranged to the 5th.
If the step-length that detection block is slided in the horizontal direction is the second step-length, if a length of two pixels of the first step,
Then the pixel region of the detection circle choosing after horizontal sliding is the first row to fifth line, and third is arranged to the region of the 6th column.
And so on, until the right side edge of detection block arrives at the right side edge of image to be detected.
(2), each sub-level slide after, detection block vertical direction the first step-length of sliding, for example, sliding after
Detection block include: the second row to the 6th row, and first row, to the region of the 6th column, detection block carries out water after vertical sliding motion
Smooth dynamic, the mode of level sliding is identical as the mode in aforementioned (1), and details are not described herein for the embodiment of the present invention.It at this time will be interior
The integrated value for depositing the pixel of the first row of middle storage is removed；After detection block carries out vertical sliding motion next time, it will be deposited in memory
The integrated value of the pixel of second row of storage is removed, and so on.
By original (position of the bit wide+sqsum of sum scheme integrogram memory overhead H*W* by way of running integral figure
It is wide), it is reduced to detect_h*W* (bit wide of the bit wide+sqsum of sum), while running integral figure is used and is based on full picture
The mode that integrogram is calculated does not increase new computational complexity；
The operational efficiency of target detection is improved to the mode of detection device unit and running integral parallel processing.
To sum up, which reduces the memory overhead of integrogram during Project Realization, improves the fortune of target detection
Line efficiency, effective reduction chip power-consumption and cost.
Using embodiment illustrated in fig. 6 of the present invention, from the perspective of memory use, the first row integrated value of original integrogram
The memory of occupancy is released, and is multiplexed by the integrated value of new line increment, therefore completes picture in its entirety running integral, it is only necessary to memory
Detect_h*W* (bit wide of the bit wide+sqsum of sum).
It is understood that if the pixel in detection frame region 25*35 size is not by calculating integral value, meter
Calculate the integrated value of each pixel.
Corresponding with embodiment illustrated in fig. 1 of the present invention, the embodiment of the invention also provides a kind of object detecting devices.
Fig. 7 is a kind of structural schematic diagram of object detecting device provided in an embodiment of the present invention, as shown in fig. 7, the dress
It sets and includes:
Module 701 is obtained, for obtaining image to be detected, and for the detection block size of described image to be detected, and
The detection block size is not more than the size of image to be detected；
Computing module 702 obtains correspondingly-sized model for the size according to the detection block in described image to be detected
Interior pixel is enclosed, and calculates the integrated value of each pixel；
Judgment module 703, for judging whether the integrated value of the pixel in the detection frame region is greater than setting thresholding
Value；
First sliding block 704, for being slided according to level in the case where the judging result of the judgment module, which is, is
The detection block is slided the first step-length, obtains the pixel within the scope of correspondingly-sized, obtain the product of each pixel by direction
Score value, and trigger the judgment module 703；
First sliding block 704, for being slided according to level in the case where the judging result of the judgment module is no
The detection block is slided the second step-length, obtains the pixel within the scope of correspondingly-sized, obtain the product of each pixel by direction
Score value, and trigger the judgment module 703；
Second sliding block 705, for according to vertical sliding direction, the detection block to be slided the first step-length, acquisition pair
The pixel in size range is answered, the integrated value of each pixel is obtained, and triggers the judgment module 703.
Each is individually calculated by each detection block when carrying out the identification of harr feature using the embodiment of the present invention
The size of integrated value in detection block, the negligible amounts of the pixel calculated each time, required memory headroom is also less, relatively
In the size for the integrated value for calculating all pixels point first in the prior art, it is then store in memory, reduces accounting for for memory
With.
In a kind of specific embodiment of the embodiment of the present invention, first sliding block 704 is used for:
It will test frame and slide the first step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased picture
Vegetarian refreshments will test the pixel being still located in detection frame region after frame slides as preimage vegetarian refreshments, by the newly-increased pixel
Set with the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
In a kind of specific embodiment of the embodiment of the present invention, first sliding block 704 is used for:
It will test frame and slide the second step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased picture
Vegetarian refreshments will test the pixel being still located in detection frame region after frame slides as preimage vegetarian refreshments, by the newly-increased pixel
Set with the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
In a kind of specific embodiment of the embodiment of the present invention, first sliding block 704 is used for:
Obtain the integrated value of newly-increased pixel, and by the integral of the integrated value of the newly-increased pixel and the preimage vegetarian refreshments
Integrated value of the set of value as each acquired pixel.
In a kind of specific embodiment of the embodiment of the present invention, the second sliding block 705, for according to vertical sliding
Direction when the detection block is slided the first step-length, will be detached from the first step-length of the detection block with the detection block when mobile
The data of pixel integrated value, are removed from memory in the pixel column of quantity.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (10)
1. a kind of object detection method, which is characterized in that the described method includes:
Image to be detected is obtained, and for the detection block size of described image to be detected, and the detection block size is not more than
The size of image to be detected；
The pixel within the scope of correspondingly-sized is obtained in described image to be detected according to the size of the detection block, and is calculated every
The integrated value of one pixel；
Judge whether the integrated value of the pixel in the detection frame region is greater than setting threshold value；
If so, the detection block is slided the first step-length, obtains the pixel within the scope of correspondingly-sized according to horizontal glide direction
Point, obtains the integrated value of each pixel, and returns to the integral for executing the pixel in the judgement detection frame region
Whether value is greater than the step of setting threshold value, until the detection block slides into the edge of described image to be detected；
If it is not, the detection block is slided the second step-length, obtains the pixel within the scope of correspondingly-sized according to horizontal glide direction
Point, obtains the integrated value of each pixel, and returns to the integral for executing the pixel in the judgement detection frame region
Whether value is greater than the step of setting threshold value, until the detection block slides into the edge of described image to be detected；
According to vertical sliding direction, the detection block is slided into the first step-length, obtains the pixel within the scope of correspondingly-sized, is obtained
The integrated value of each pixel, and whether return to the execution integrated value for judging the pixel in the detection frame region big
In the step of setting threshold value, until the target in described image to be detected is detected and completes.
2. a kind of object detection method according to claim 1, which is characterized in that it is described according to horizontal glide direction, it will
The detection block slides the first step-length, obtains the pixel within the scope of correspondingly-sized, comprising:
It will test frame and slide the first step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased pixel
Point, will test the pixel being still located on after frame sliding in detection frame region as preimage vegetarian refreshments, by the newly-increased pixel and
The set of the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
3. a kind of object detection method according to claim 1, which is characterized in that it is described according to horizontal glide direction, it will
The detection block slides the second step-length, obtains the pixel within the scope of correspondingly-sized, comprising:
It will test frame and slide the second step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased pixel
Point, will test the pixel being still located on after frame sliding in detection frame region as preimage vegetarian refreshments, by the newly-increased pixel and
The set of the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
4. a kind of object detection method according to claim 2 or 3, which is characterized in that described each pixel of acquisition
Integrated value, comprising:
Obtain the integrated value of newly-increased pixel, and by the integrated value of the newly-increased pixel and the integrated value of the preimage vegetarian refreshments
Gather the integrated value as each acquired pixel.
5. a kind of object detection method according to claim 2 or 3, which is characterized in that according to vertical sliding direction, incite somebody to action
When the detection block slides the first step-length, the picture of the first number of steps of the detection block will be detached from when mobile with the detection block
The data of pixel integrated value, are removed from memory in plain row.
6. a kind of object detecting device, which is characterized in that described device includes:
Module is obtained, for obtaining image to be detected, and for the detection block size of described image to be detected, and the detection
Frame size is not more than the size of image to be detected；
Computing module obtains the picture within the scope of correspondingly-sized for the size according to the detection block in described image to be detected
Vegetarian refreshments, and calculate the integrated value of each pixel；
Judgment module, for judging whether the integrated value of the pixel in the detection frame region is greater than setting threshold value；
First sliding block, for according to horizontal glide direction, inciting somebody to action in the case where the judging result of the judgment module, which is, is
The detection block slides the first step-length, obtains the pixel within the scope of correspondingly-sized, obtains the integrated value of each pixel, and
Trigger the judgment module；
First sliding block, for according to horizontal glide direction, inciting somebody to action in the case where the judging result of the judgment module is no
The detection block slides the second step-length, obtains the pixel within the scope of correspondingly-sized, obtains the integrated value of each pixel, and
Trigger the judgment module；
Second sliding block, for the detection block being slided the first step-length, obtains correspondingly-sized model according to vertical sliding direction
Interior pixel is enclosed, obtains the integrated value of each pixel, and trigger the judgment module.
7. a kind of object detecting device according to claim 6, which is characterized in that first sliding block is used for:
It will test frame and slide the first step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased pixel
Point, will test the pixel being still located on after frame sliding in detection frame region as preimage vegetarian refreshments, by the newly-increased pixel and
The set of the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
8. a kind of object detecting device according to claim 6, which is characterized in that first sliding block is used for:
It will test frame and slide the second step-length in the horizontal direction, using the new pixel of the detection circle choosing as newly-increased pixel
Point, will test the pixel being still located on after frame sliding in detection frame region as preimage vegetarian refreshments, by the newly-increased pixel and
The set of the preimage vegetarian refreshments is as the pixel within the scope of acquired correspondingly-sized.
9. a kind of object detecting device according to claim 7 or 8, which is characterized in that first sliding block is used
In:
Obtain the integrated value of newly-increased pixel, and by the integrated value of the newly-increased pixel and the integrated value of the preimage vegetarian refreshments
Gather the integrated value as each acquired pixel.
10. a kind of object detecting device according to claim 7 or 8, which is characterized in that the second sliding block is used for
According to vertical sliding direction, when the detection block is slided the first step-length, the detection will be detached from when will move with the detection block
The data of pixel integrated value, are removed from memory in the pixel column of first number of steps of frame.
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