CN105472262A - Intelligent image snapshot method and high-definition intelligent network camera - Google Patents
Intelligent image snapshot method and high-definition intelligent network camera Download PDFInfo
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- CN105472262A CN105472262A CN201410458160.0A CN201410458160A CN105472262A CN 105472262 A CN105472262 A CN 105472262A CN 201410458160 A CN201410458160 A CN 201410458160A CN 105472262 A CN105472262 A CN 105472262A
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- compensating lamp
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Abstract
The invention discloses an intelligent image snapshot method and a high-definition intelligent network camera. The high-definition intelligent network camera determines that the present snapshot type is bayonet image snapshot, and light supplementing lamps belonging to a first light supplementing mode in N light supplementing lamps corresponding to the high-definition intelligent network camera are turned off; light supplementing modes include the first light supplementing mode and a second light supplementing mode, the first light supplementing mode is a blasting flash mode, the second light supplementing mode is a stroboscopic flash mode, N is a positive integer greater than 1, and N light supplementing lamps simultaneously include the light supplementing lamps of the stroboscopic flash mode and the light supplementing lamps of the blasting flash mode; and exposure parameters matched with the present snapshot are set in the high-definition intelligent network camera, and the present snapshot is completed according to the set exposure parameters and the light supplementing lamps which are not turned off. With application of the scheme, light pollution can be reduced.
Description
Technical field
The present invention relates to image processing techniques, particularly a kind of intelligent image grasp shoot method and a kind of high-definition intelligent network cameras.
Background technology
Along with the sharply increase of vehicle fleet size, the traffic pressure in urban road increases day by day, and the management and control for traffic is also more and more stronger, and increasing candid photograph camera such as high-definition intelligent network cameras is installed in each crossing in city.
In the alert candid photograph of existing cassette electricity, no matter be bayonet socket video capture or video capture violating the regulations, all can adopt quick-fried sudden strain of a muscle candid photograph mode, thus result in a large amount of light pollution.
Summary of the invention
In view of this, the invention provides a kind of intelligent image grasp shoot method and a kind of high-definition intelligent network cameras, can light pollution be reduced.
In order to achieve the above object, technical scheme of the present invention is achieved in that
A kind of intelligent image grasp shoot method, comprising:
High-definition intelligent network cameras determines that the current candid photograph type that will carry out is bayonet socket video capture, closes the light compensating lamp belonging to the first light filling pattern in N number of light compensating lamp of self correspondence;
Wherein, described light filling pattern comprises the first light filling pattern and the second light filling pattern, described first light filling pattern is quick-fried sudden strain of a muscle pattern, described second light filling pattern is different flash patterns, described N be greater than 1 positive integer, comprise the light compensating lamp of different flash patterns and the light compensating lamp of quick-fried sudden strain of a muscle pattern in described N number of light compensating lamp simultaneously;
Described high-definition intelligent network cameras is arranged captures with this exposure parameter matched, and completes this candid photograph according to set exposure parameter and the light compensating lamp of not closing.
A kind of high-definition intelligent network cameras, comprising:
First processing module, for when determining that the current candid photograph type that will carry out is bayonet socket video capture, close the light compensating lamp belonging to the first light filling pattern in N number of light compensating lamp corresponding to described high-definition intelligent network cameras, and setting captures with this exposure parameter matched, notify that the second processing module performs self function afterwards;
Wherein, described light filling pattern comprises the first light filling pattern and the second light filling pattern, described first light filling pattern is quick-fried sudden strain of a muscle pattern, described second light filling pattern is different flash patterns, described N be greater than 1 positive integer, comprise the light compensating lamp of different flash patterns and the light compensating lamp of quick-fried sudden strain of a muscle pattern in described N number of light compensating lamp simultaneously;
Described second processing module, captures for completing this according to set exposure parameter and the light compensating lamp of not closing.
Visible, adopt scheme of the present invention, when high-definition intelligent network cameras determines that the current candid photograph type that will carry out is bayonet socket video capture, the light compensating lamp belonging to quick-fried sudden strain of a muscle pattern can be closed in the light compensating lamp of self correspondence, thus without the need to as in prior art, no matter be carry out which kind of video capture, the light compensating lamp of quick-fried sudden strain of a muscle pattern is all used to carry out light filling, and then decrease light pollution, and, by reducing the access times of the light compensating lamp of quick-fried sudden strain of a muscle pattern, extend the useful life of the light compensating lamp of quick-fried sudden strain of a muscle pattern.
Accompanying drawing explanation
Fig. 1 is the flow chart of intelligent image grasp shoot method embodiment of the present invention.
Fig. 2 is camera exposure control strategy schematic diagram of the present invention.
Fig. 3 is the flow chart of intelligent image grasp shoot method of the present invention preferred embodiment.
Fig. 4 is the composition structural representation of high-definition intelligent network cameras embodiment of the present invention.
Embodiment
In order to make technical scheme of the present invention clearly, understand, to develop simultaneously embodiment referring to accompanying drawing, scheme of the present invention be described in further detail.
Fig. 1 is the flow chart of intelligent image grasp shoot method embodiment of the present invention.As shown in Figure 1,11 ~ 12 are comprised the following steps.
Step 11: high-definition intelligent network cameras determines that the current candid photograph type that will carry out is bayonet socket video capture, closes the light compensating lamp belonging to the first light filling pattern in N number of light compensating lamp of self correspondence; Wherein, light filling pattern comprises the first light filling pattern and the second light filling pattern, and the first light filling pattern is quick-fried sudden strain of a muscle pattern, and the second light filling pattern is different flash patterns, N be greater than 1 positive integer, comprise the light compensating lamp of different flash patterns and the light compensating lamp of quick-fried sudden strain of a muscle pattern in N number of light compensating lamp simultaneously.
As a rule, the candid photograph type carried out comprises bayonet socket video capture and video capture violating the regulations.
Such as, capture crossing one, when signal lamp is in red light phase, can video capture violating the regulations be carried out, when signal lamp is in green light phase, can bayonet socket video capture be carried out; The effect of bayonet socket image was mainly carried out car record and carried out vehicle count etc., usually car plate and vehicle can be seen clearly, requirement is not done for out of Memory, and image violating the regulations is except needs see vehicle and vehicle clearly, also need to see the more accurately detailed information such as body color clearly, that is, the imaging requirements of two kinds of images is different, therefore can use no light filling mode.
In actual applications, according to existing mode, high-definition intelligent network cameras can determine that the current candid photograph type that will carry out is bayonet socket video capture still video capture violating the regulations.
When for bayonet socket video capture, high-definition intelligent network cameras can determine the light filling pattern of N number of light compensating lamp of self correspondence successively, N be greater than 1 positive integer, concrete value is depending on actual conditions, and in N number of light compensating lamp, both there is the light compensating lamp of quick-fried sudden strain of a muscle pattern, there is again the light compensating lamp of different flash patterns, such as, when the value of N is 3, the light compensating lamp of 2 quick-fried sudden strain of a muscle patterns and the light compensating lamp of 1 different flash patterns can be comprised, for the light compensating lamp of quick-fried sudden strain of a muscle pattern, can be closed, even it is onset no longer, the light compensating lamp only leaving different flash patterns carries out light filling, the imaging requirements of bayonet socket image can be met, thus decrease light pollution, and pass through the access times of the light compensating lamp reducing quick-fried sudden strain of a muscle pattern, extend the useful life of the light compensating lamp of quick-fried sudden strain of a muscle pattern.
When for video capture violating the regulations, high-definition intelligent network cameras can determine the light filling pattern of N number of light compensating lamp of self correspondence successively, and closes the light compensating lamp wherein belonging to different flash patterns, and the light compensating lamp only leaving quick-fried sudden strain of a muscle pattern carries out light filling.
Because the light compensating lamp of different flash patterns carries out light filling by orienting reflex, and the reflecting effect that the material of car plate and structural design determine it is best, like this, if while utilizing the light compensating lamp of quick-fried sudden strain of a muscle pattern to carry out light filling, the auxiliary light compensating lamp of different flash patterns that uses carries out light filling, may cause car plate overexposure, None-identified and identification, therefore, while utilizing the light compensating lamp of quick-fried sudden strain of a muscle pattern to carry out light filling, need the light compensating lamp of closing different flash patterns.
Step 12: high-definition intelligent network cameras is arranged captures with this exposure parameter matched, and completes this candid photograph according to set exposure parameter and the light compensating lamp of not closing.
For each candid photograph, high-definition intelligent network cameras carries out except Based Intelligent Control except needing to the light filling mode of light compensating lamp, also needs to arrange to capture with this exposure parameter matched, and namely carries out Based Intelligent Control to the dependent imaging parameter of camera.
The feature of the light compensating lamp of quick-fried sudden strain of a muscle pattern is concentration of energy, onset time is short, can illuminate bulk zone at the energy capturing abrupt release, and surround lighting is little on the impact of capturing, need during candid photograph to control the time for exposure, make the maximum exposure time slightly larger than the effective acting time of light compensating lamp, but if long, when surround lighting is very weak, signal lamp can cause colour cast by overexposure, if too short, then the energy of light compensating lamp is not fully utilized, and image effect does not reach the best yet.
The light compensating lamp of different flash patterns is generally light-emitting diode (LED, LightEmittingDiode) lamp, feature is that energy is relatively weak, spot size is indefinite, the energy shortage of abrupt release is to illuminate whole scene, surround lighting on capture impact relatively large, therefore need by lengthen capture the time for exposure promote surround lighting more weak time integral image brightness.
According to the light compensating lamp of quick-fried sudden strain of a muscle pattern and the light compensating lamp feature separately of different flash patterns of above introduction, when capturing at every turn, high-definition intelligent network cameras all needs to arrange captures with this exposure parameter matched, and described exposure parameter comprises shutter and gain etc.
Specifically, when carrying out bayonet socket video capture, the light compensating lamp of different flash patterns is now used to carry out light filling, surround lighting is the principal element of effect diagram image brightness, when ensureing not trail little with noise, shutter and the gain of exposure should must be set greatly as far as possible, to obtain reasonable image effect; And when carrying out video capture violating the regulations, now use the light compensating lamp of quick-fried sudden strain of a muscle pattern to carry out light filling, then need to arrange smaller shutter and gain, but again can not be too small.
As previously mentioned, capture crossing one, when signal lamp is in red light phase, can video capture violating the regulations be carried out, when signal lamp is in green light phase, can bayonet socket video capture be carried out.Fig. 2 is camera exposure control strategy schematic diagram of the present invention.As shown in Figure 2, when shutter is less, gain is 0 namely not open, when surround lighting progressively reduces, in order to reach enough brightness, shutter progressively increases, when shutter reaches KB limit, gain also progressively reaches KB limit, particularly, when signal lamp is in red light phase, after shutter reaches Smax-red, gain will no longer change after reaching Amax-red, when signal lamp is in green light phase, after shutter reaches Smax-green, gain will no longer change after reaching Amax-green; And according to mode of the present invention, when signal lamp is in red light phase, will the light compensating lamp of quick-fried sudden strain of a muscle pattern be used to carry out light filling, when signal lamp is in green light phase, carry out light filling by using the light compensating lamp of different flash patterns.
Correspondingly, empirically can set the shutter under red light and green light phase and gain maximum in advance respectively, like this, when follow-up capture at every turn time, high-definition intelligent network cameras can according to arrange, and in conjunction with factors such as current surround lightings, automatically calculate the shutter and gain capturing with this and match, how to carry out being calculated as prior art.
In addition, when capturing at every turn, when closing corresponding light compensating lamp, and after setting and capturing with this exposure parameter matched, high-definition intelligent network cameras can complete this according to set exposure parameter and the light compensating lamp of not closing and capture, and how to complete this candid photograph and is similarly prior art.
It should be noted that, high-definition intelligent network cameras, after completing this according to set exposure parameter and the light compensating lamp of not closing and capturing, also needs to reopen closed light compensating lamp, is about to the light filling pattern before closed light compensating lamp is reduced to.How high-definition intelligent network cameras is closed and reopened light compensating lamp is similarly prior art.
Based on above-mentioned introduction, Fig. 3 is the flow chart of intelligent image grasp shoot method of the present invention preferred embodiment.As shown in Figure 3,31 ~ 35 are comprised the following steps.
Step 31: high-definition intelligent network cameras determines that needs are captured.
Step 32: high-definition intelligent network cameras determines that the current candid photograph type that will carry out is bayonet socket video capture still video capture violating the regulations, if bayonet socket video capture, then performs step 33, if video capture violating the regulations, then performs step 34.
Step 33: high-definition intelligent network cameras closes the light compensating lamp belonging to quick-fried sudden strain of a muscle pattern in N number of light compensating lamp of self correspondence, and setting captures with this exposure parameter matched, and performs step 35 afterwards.
Step 34: high-definition intelligent network cameras closes the light compensating lamp belonging to different flash patterns in N number of light compensating lamp of self correspondence, and setting captures with this exposure parameter matched, and performs step 35 afterwards.
Step 35: high-definition intelligent network cameras completes this according to set exposure parameter and the light compensating lamp of not closing and captures.
The present invention discloses a kind of high-definition intelligent network cameras.
Fig. 4 is the composition structural representation of high-definition intelligent network cameras embodiment of the present invention.As shown in Figure 4, comprising: the first processing module and the second processing module.
First processing module, for when determining that the current candid photograph type that will carry out is bayonet socket video capture, close the light compensating lamp belonging to the first light filling pattern in N number of light compensating lamp corresponding to high-definition intelligent network cameras, and setting captures with this exposure parameter matched, notify that the second processing module performs self function afterwards;
Wherein, light filling pattern comprises the first light filling pattern and the second light filling pattern, and the first light filling pattern is quick-fried sudden strain of a muscle pattern, and the second light filling pattern is different flash patterns, N be greater than 1 positive integer, comprise the light compensating lamp of different flash patterns and the light compensating lamp of quick-fried sudden strain of a muscle pattern in N number of light compensating lamp simultaneously;
Second processing module, captures for completing this according to set exposure parameter and the light compensating lamp of not closing.
Wherein,
First processing module can be further used for, when determining the current candid photograph type that will carry out for video capture violating the regulations, close the light compensating lamp belonging to the second light filling pattern in N number of light compensating lamp corresponding to high-definition intelligent network cameras, and setting captures with this exposure parameter matched, notify that the second processing module performs self function afterwards.
In addition,
First processing module also can be further used for, and when determining that the second processing module to complete after this captures according to set exposure parameter and the light compensating lamp of not closing, reopens closed light compensating lamp.
Preferably,
Exposure parameter comprises: shutter and gain.
The specific works flow process of Fig. 4 shown device embodiment please refer to the respective description in preceding method embodiment and preferred embodiment, repeats no more herein.
In a word, adopt scheme of the present invention, without the need to as in prior art, no matter be carry out which kind of video capture, all use the light compensating lamp of quick-fried sudden strain of a muscle pattern to carry out light filling, thus decrease light pollution, and, by reducing the access times of the light compensating lamp of quick-fried sudden strain of a muscle pattern, extend the useful life of the light compensating lamp of quick-fried sudden strain of a muscle pattern;
In addition, by arranging and capture the exposure parameter etc. matched at every turn, the imaging effect at every turn capturing bayonet socket image and the image violating the regulations obtained can be guaranteed;
Further, the adjustment carried out when capturing at every turn, the exposure parameter etc. that namely closed portion light compensating lamp and setting match only is captured effectively for this, can not impact other candid photograph;
Further, scheme of the present invention implements simple and convenient, thus is convenient to carry out popularizing and promoting.
In sum, these are only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. an intelligent image grasp shoot method, is characterized in that, comprising:
High-definition intelligent network cameras determines that the current candid photograph type that will carry out is bayonet socket video capture, closes the light compensating lamp belonging to the first light filling pattern in N number of light compensating lamp of self correspondence;
Wherein, described light filling pattern comprises the first light filling pattern and the second light filling pattern, described first light filling pattern is quick-fried sudden strain of a muscle pattern, described second light filling pattern is different flash patterns, described N be greater than 1 positive integer, comprise the light compensating lamp of different flash patterns and the light compensating lamp of quick-fried sudden strain of a muscle pattern in described N number of light compensating lamp simultaneously;
Described high-definition intelligent network cameras is arranged captures with this exposure parameter matched, and completes this candid photograph according to set exposure parameter and the light compensating lamp of not closing.
2. method according to claim 1, is characterized in that,
The method comprises further:
Described high-definition intelligent network cameras determines that the current candid photograph type that will carry out is for video capture violating the regulations, closes the light compensating lamp belonging to the second light filling pattern in N number of light compensating lamp of self correspondence;
Described high-definition intelligent network cameras is arranged captures with this exposure parameter matched, and completes this candid photograph according to set exposure parameter and the light compensating lamp of not closing.
3. method according to claim 1 and 2, is characterized in that,
Exposure parameter set by described basis and the light compensating lamp of not closing comprise: described high-definition intelligent network cameras reopens closed light compensating lamp after completing this candid photograph further.
4. method according to claim 1 and 2, is characterized in that,
Described exposure parameter comprises: shutter and gain.
5. a high-definition intelligent network cameras, is characterized in that, comprising:
First processing module, for when determining that the current candid photograph type that will carry out is bayonet socket video capture, close the light compensating lamp belonging to the first light filling pattern in N number of light compensating lamp corresponding to described high-definition intelligent network cameras, and setting captures with this exposure parameter matched, notify that the second processing module performs self function afterwards;
Wherein, described light filling pattern comprises the first light filling pattern and the second light filling pattern, described first light filling pattern is quick-fried sudden strain of a muscle pattern, described second light filling pattern is different flash patterns, described N be greater than 1 positive integer, comprise the light compensating lamp of different flash patterns and the light compensating lamp of quick-fried sudden strain of a muscle pattern in described N number of light compensating lamp simultaneously;
Described second processing module, captures for completing this according to set exposure parameter and the light compensating lamp of not closing.
6. high-definition intelligent network cameras according to claim 5, is characterized in that,
Described first processing module is further used for, when determining the current candid photograph type that will carry out for video capture violating the regulations, close the light compensating lamp belonging to the second light filling pattern in N number of light compensating lamp corresponding to described high-definition intelligent network cameras, and setting captures with this exposure parameter matched, notify that described second processing module performs self function afterwards.
7. the high-definition intelligent network cameras according to claim 5 or 6, is characterized in that,
Described first processing module is further used for, and when determining that described second processing module to complete after this captures according to set exposure parameter and the light compensating lamp of not closing, reopens closed light compensating lamp.
8. the high-definition intelligent network cameras according to claim 5 or 6, is characterized in that,
Described exposure parameter comprises: shutter and gain.
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| CN201410458160.0A CN105472262A (en) | 2014-09-10 | 2014-09-10 | Intelligent image snapshot method and high-definition intelligent network camera |
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| CN201410458160.0A CN105472262A (en) | 2014-09-10 | 2014-09-10 | Intelligent image snapshot method and high-definition intelligent network camera |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111653101A (en) * | 2020-05-22 | 2020-09-11 | 浙江大华技术股份有限公司 | Vehicle snapshot method and vehicle snapshot system |
| CN111770611A (en) * | 2020-07-20 | 2020-10-13 | 吕晓 | Control method based on multi-combination intelligent traffic bayonet light supplement lamp |
| CN111836419A (en) * | 2019-04-22 | 2020-10-27 | 浙江宇视科技有限公司 | Control method of HID lamp and related equipment |
| CN112019760A (en) * | 2019-05-30 | 2020-12-01 | 杭州海康威视数字技术股份有限公司 | Exposure adjusting method and device, camera shooting control device and monitoring camera |
| CN108364479B (en) * | 2017-04-13 | 2021-03-05 | 合肥如昼智能科技有限公司 | System for electronic police intelligence light filling |
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- 2014-09-10 CN CN201410458160.0A patent/CN105472262A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108364479B (en) * | 2017-04-13 | 2021-03-05 | 合肥如昼智能科技有限公司 | System for electronic police intelligence light filling |
| CN111836419A (en) * | 2019-04-22 | 2020-10-27 | 浙江宇视科技有限公司 | Control method of HID lamp and related equipment |
| CN111836419B (en) * | 2019-04-22 | 2022-11-04 | 浙江宇视科技有限公司 | Control method of HID lamp and related equipment |
| CN112019760A (en) * | 2019-05-30 | 2020-12-01 | 杭州海康威视数字技术股份有限公司 | Exposure adjusting method and device, camera shooting control device and monitoring camera |
| CN112019760B (en) * | 2019-05-30 | 2021-09-03 | 杭州海康威视数字技术股份有限公司 | Exposure adjusting method and device, camera shooting control device and monitoring camera |
| CN111653101A (en) * | 2020-05-22 | 2020-09-11 | 浙江大华技术股份有限公司 | Vehicle snapshot method and vehicle snapshot system |
| CN111770611A (en) * | 2020-07-20 | 2020-10-13 | 吕晓 | Control method based on multi-combination intelligent traffic bayonet light supplement lamp |
| CN111770611B (en) * | 2020-07-20 | 2022-09-13 | 吕晓 | Control method based on multi-combination intelligent traffic bayonet light supplement lamp |
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Application publication date: 20160406 |