CN110807393A - Early warning method and device based on video analysis, electronic equipment and storage medium - Google Patents
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Abstract
The disclosure relates to an early warning method and device based on video analysis, electronic equipment and a storage medium, wherein the method comprises the following steps: carrying out target detection on the collected video stream of the preset geographic area, and determining a first image frame comprising a target in the video stream; when the state of the video stream is an early warning silent state and a first image frame is detected for multiple times within a preset first time, changing the state of the video stream into an early warning activated state, wherein the early warning silent state is used for indicating that no target exists in a preset geographic area, and the early warning activated state is used for indicating that a target exists in the preset geographic area; and sending out early warning information aiming at the video stream under the condition that the video stream is in an early warning activation state. The embodiment of the disclosure can improve the accuracy of target identification and effectively realize reasonable early warning.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an early warning method and apparatus for video analysis, an electronic device, and a storage medium.
Background
In social security work, the objects needing attention of related departments include: a banner containing sensitive content (hereinafter, referred to as a sensitive banner), fireworks, and the like, which appears on the street. Generally, an early warning method for detecting and identifying a target in an image frame based on a video analysis algorithm and early warning based on a detection result of single-frame detection has low target identification accuracy, so that the early warning frequency is high, false alarms are more, and reasonable early warning cannot be realized.
Disclosure of Invention
The disclosure provides an early warning method and device based on video analysis, electronic equipment and a storage medium, which can improve the accuracy of target identification and can effectively realize reasonable early warning.
According to a first aspect of the present disclosure, there is provided a video analysis-based early warning method, including: carrying out target detection on a collected video stream of a preset geographic area, and determining a first image frame comprising a target in the video stream; changing the state of the video stream into an early warning activation state under the condition that the state of the video stream is an early warning silent state and the first image frame is detected for multiple times within a preset first time length, wherein the early warning silent state is used for indicating that the target does not exist in the preset geographic area, and the early warning activation state is used for indicating that the target exists in the preset geographic area; and sending out early warning information aiming at the video stream under the condition that the video stream is in the early warning activation state.
In one possible implementation, the method further includes: and when the state of the video stream is the early warning activation state and the first image frame is not detected within a preset second time, changing the state of the video stream into the early warning silence state.
In one possible implementation, the warning information includes at least one of: the video stream in the early warning activation state and the early warning snapshot picture corresponding to the video stream in the early warning activation state.
In one possible implementation, the method further includes: determining an early warning event corresponding to the video stream according to the video stream in the early warning activation state, wherein the early warning event comprises at least one of the following information: the state of the video stream is changed from the early warning silent state to a first time point of the early warning activated state, the state of the video stream is changed from the early warning activated state to a second time point of the early warning silent state, the duration of the video stream in the early warning activated state, an early warning snapshot corresponding to the video stream in the early warning activated state, and the early warning state of the early warning event.
In one possible implementation, the warning state of the warning event includes: the early warning system comprises a real-time early warning state and a completed early warning state, wherein the state of the early warning event between the first time point and the second time point is the real-time early warning state, and the state of the early warning event after the second time point is the completed early warning state.
In one possible implementation, the method further includes: the preset first time period comprises a plurality of first preset time periods, and under the condition that at least one image frame to be detected in each first preset time period is determined to be the first image frame, the first image frame is determined to be detected for a plurality of times in the first preset time period.
In one possible implementation, the method further includes: and under the condition that each image frame to be detected in the preset second time period is not determined as the first image frame, determining that the first image frame is not detected in the preset second time period.
In a possible implementation manner, the performing target detection on the acquired video stream of the preset geographic area includes: determining an interested area in each image frame to be detected in the video stream; and carrying out target detection on the image frame to be detected according to the region of interest.
In one possible implementation, the method further includes: determining an early warning snapshot corresponding to the video stream in the early warning activation state; the determining of the early warning snapshot corresponding to the video stream in the early warning activation state includes: and extracting image frames of the video stream in the early warning activation state according to a preset time interval, and determining the extracted image frames as early warning snapshot pictures corresponding to the video stream in the early warning activation state.
In one possible implementation, the method further includes: determining an early warning snapshot corresponding to the video stream in the early warning activation state; the determining of the early warning snapshot corresponding to the video stream in the early warning activation state includes: determining a second image frame with a position change of a target in the video stream according to the first image frame; and determining the second image frame as an early warning snapshot corresponding to the video stream in the early warning activation state.
According to a second aspect of the present disclosure, there is provided a video analysis-based early warning apparatus, including: the detection module is used for carrying out target detection on the collected video stream of the preset geographic area and determining that the video stream comprises a first image frame of a target; a state updating module, configured to change a state of the video stream to an early warning activated state when the state of the video stream is an early warning silent state and the first image frame is detected for multiple times within a preset first duration, where the early warning silent state is used to indicate that the target does not exist in the preset geographic area, and the early warning activated state is used to indicate that the target exists in the preset geographic area; and the early warning module is used for sending out early warning information aiming at the video stream under the condition that the video stream is in the early warning activation state.
In a possible implementation manner, the state updating module is further configured to change the state of the video stream to the early warning silent state when the state of the video stream is the early warning activated state and the first image frame is not detected within a preset second duration.
In one possible implementation, the warning information includes at least one of: the video stream in the early warning activation state and the early warning snapshot picture corresponding to the video stream in the early warning activation state.
In one possible implementation, the apparatus further includes: an early warning event determining module, configured to determine, according to the video stream in the early warning activation state, an early warning event corresponding to the video stream, where the early warning event includes at least one of the following information: the state of the video stream is changed from the early warning silent state to a first time point of the early warning activated state, the state of the video stream is changed from the early warning activated state to a second time point of the early warning silent state, the duration of the video stream in the early warning activated state, an early warning snapshot corresponding to the video stream in the early warning activated state, and the early warning state of the early warning event.
In one possible implementation, the warning state of the warning event includes: the early warning system comprises a real-time early warning state and a completed early warning state, wherein the state of the early warning event between the first time point and the second time point is the real-time early warning state, and the state of the early warning event after the second time point is the completed early warning state.
In one possible implementation, the preset first time period includes a plurality of first preset time periods; the detection module is specifically configured to: and under the condition that at least one image frame to be detected in each first preset time period is determined to be the first image frame, determining that the first image frame is detected for multiple times in the first preset time period.
In a possible implementation manner, the detection module is specifically configured to: and under the condition that each image frame to be detected in the preset second time period is not determined as the first image frame, determining that the first image frame is not detected in the preset second time period.
In a possible implementation manner, the detection module is specifically configured to: determining an interested area in each image frame to be detected in the video stream; and carrying out target detection on the image frame to be detected according to the region of interest.
In one possible implementation, the apparatus further includes: the early warning snapshot image determining module is used for determining an early warning snapshot image corresponding to the video stream in the early warning activation state; the early warning snapshot image determination module is specifically configured to: and extracting image frames of the video stream in the early warning activation state according to a preset time interval, and determining the extracted image frames as early warning snapshot pictures corresponding to the video stream in the early warning activation state.
In one possible implementation, the apparatus further includes: the early warning snapshot image determining module is used for determining an early warning snapshot image corresponding to the video stream in the early warning activation state; the early warning snapshot image determination module is specifically configured to: determining a second image frame with a position change of a target in the video stream according to the first image frame; and determining the second image frame as an early warning snapshot corresponding to the video stream in the early warning activation state.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.
According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.
In the embodiment of the disclosure, whether the target appears in the preset geographic area is determined based on the detection results of multiple target detections within the preset first duration, so that the target identification accuracy can be improved; the method and the device can effectively realize reasonable early warning by sending early warning information aiming at the video stream under the condition of determining the target in the preset geographic area.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows a flow chart of a video analytics based early warning method of an embodiment of the present disclosure;
fig. 2 is a schematic diagram illustrating an early warning task creation page in the early warning system according to an embodiment of the present disclosure;
FIG. 3 shows a schematic diagram of the state of a video stream of an embodiment of the present disclosure;
fig. 4 shows a block diagram of a video analytics based early warning apparatus according to an embodiment of the present disclosure;
FIG. 5 illustrates a block diagram of an electronic device of an embodiment of the disclosure;
fig. 6 illustrates a block diagram of an electronic device of an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Fig. 1 shows a flowchart of an early warning method based on video analysis according to an embodiment of the present disclosure. As shown in fig. 1, the method may include:
step S11, performing target detection on the collected video stream in the preset geographic area, and determining that the video stream includes a first image frame of the target.
And step S12, changing the state of the video stream into an early warning activation state under the condition that the state of the video stream is an early warning silent state and the first image frame is detected for a plurality of times within a preset first time length.
The early warning silent state is used for indicating that no target exists in the preset geographic area, and the early warning activation state is used for indicating that the target exists in the preset geographic area.
And step S13, sending out early warning information aiming at the video stream under the condition that the video stream is in the early warning activation state.
Wherein the first image frame represents all image frames comprising the object in the video stream. The target is included in each of the different first image frames, but the specific image content in the different first image frames is not limited to be identical.
In one possible implementation, the video stream to be analyzed may be a video stream of a preset geographic area (e.g., a street, a square, etc.) collected by an image capture device (e.g., a camera), and the video stream may include various objects such as pedestrians, vehicles, etc. The target to be early-warned in the video stream can be an object which can cause serious influence on social security after the target appears. For example, the targets to be pre-warned may include: including sensitive banners, fireworks, etc. For targets which can seriously affect social security after the targets appear, early warning needs to be carried out immediately after the targets are detected. It should be understood that, the category, the characteristic, etc. of the target to be warned may be set by those skilled in the art according to the actual situation, and the present disclosure does not limit this.
According to the embodiment of the disclosure, whether the target appears in the preset geographic area is determined based on the detection results of the target detection for multiple times within the preset first duration, and the target identification accuracy can be improved compared with the determination of whether the target appears based on the detection results of a single image frame; the method and the device can effectively realize reasonable early warning by sending early warning information aiming at the video stream under the condition of determining the target in the preset geographic area.
In one possible implementation, the method further includes: and when the state of the video stream is an early warning activation state and the first image frame is not detected within a preset second time, changing the state of the video stream into an early warning silence state.
Whether the target in the preset geographic area disappears or not is determined based on the detection results of the target detection for multiple times within the preset second duration, and the target identification accuracy can be improved compared with the method for determining whether the target disappears or not based on the detection results of a single image frame.
By adopting the video analysis-based early warning method, the early warning system can effectively realize the early warning of the target in the preset geographic area.
Fig. 2 is a schematic diagram illustrating an early warning task creation page in the early warning system according to the embodiment of the present disclosure. As shown in fig. 2, when a sensitive banner warning needs to be performed in a preset geographic area (XX community), a user may create a warning task and configure task parameters on a warning task creation page in a warning system. The task parameters comprise basic information and a video source. From the basic information, it can be set: task type (e.g., sensitive banner detection), name (e.g., XX community 1206 sensitive banner detection day), sensitive banner disappearance duration (second preset duration, e.g., 60 seconds), validity time (e.g., long valid or custom), and so on. And then determining the collected video stream of the preset geographic area as a video source. After the early warning task is started, target detection is carried out on the collected video stream of the preset geographic area, and a first image frame including the target in the video stream is determined.
An early warning threshold (e.g., 80%) may also be set according to the basic information, and for one image frame to be detected in the video stream, when the probability of detecting an object included in the image frame to be detected is greater than or equal to the early warning threshold, the image frame to be detected is determined as the first image frame. The value of the early warning threshold is proportional to the accuracy of the detection result, and in order to improve the accuracy of the detection result, the early warning threshold may be set to be greater than 50%, for example, 80%. The specific value of the early warning threshold value can be set according to actual needs, and the early warning threshold value is not specifically limited by the disclosure.
In a possible implementation manner, performing target detection on a collected video stream of a preset geographic area, and determining a first image frame included in the video stream includes: determining each image frame in the video stream as an image frame to be detected; and carrying out target detection on the image frame to be detected, and determining a first image frame included in the video stream. The video stream is detected in a full frame mode, and the accuracy of the detection result can be improved.
In a possible implementation manner, performing target detection on a collected video stream of a preset geographic area, and determining a first image frame included in the video stream includes: extracting image frames of the video stream, and determining the extracted image frames as image frames to be detected; and carrying out target detection on the image frame to be detected, and determining a first image frame included in the video stream. The frame extraction detection is carried out on the video stream, so that the detection rate can be improved.
The image frame extraction mode may be determined according to actual conditions, for example, one image frame may be extracted every 10 image frames in a video stream as an image frame to be detected, 10 image frames may also be extracted every 1 second video stream as an image frame to be detected, and other image frame extraction modes may also be adopted, which is not specifically limited by the present disclosure.
In a possible implementation manner, the target detection on the collected video stream of the preset geographic area includes: and aiming at each image frame to be detected in the video stream, carrying out target detection in a full image area in the image frame to be detected. And the image frames to be detected are subjected to full-image detection aiming at the scene in which the area where the target possibly appears in the image frames to be detected cannot be determined, so that the accuracy of the detection result can be improved.
And determining the state of the video stream according to the detection result of the target detection of the video stream. Fig. 3 shows a schematic diagram of the state of a video stream of an embodiment of the present disclosure. As shown in fig. 3, in a case where the state of the video stream is the early warning silent state and the first image frame is detected a plurality of times within a preset first duration, the state of the video stream is changed to the early warning active state.
In one possible implementation, the method further includes: the preset first time period comprises a plurality of first preset time periods, and under the condition that at least one image frame to be detected in each first preset time period is determined to be a first image frame, the first image frame is determined to be detected for multiple times in the first preset time period.
For example, the preset first duration is 5 seconds, the first preset time period is 1 second, when at least one image frame to be detected in the video stream of every 1 second is determined as a first image frame in the continuous video stream of 5 seconds in the early warning silent state, it is determined that the first image frame is detected for multiple times in the continuous video stream of 5 seconds, and at this time, the state of the video stream is changed from the early warning silent state to the early warning activated state. The specific value of the preset first duration may be set by default in the early warning system, or may be set by a user when configuring task parameters after creating an early warning task in the early warning system, which is not specifically limited in the present disclosure.
Under the condition that the video stream is in the early warning activation state, it can be determined that a target exists in a preset geographic area, at the moment, the early warning system carries out early warning on the current early warning task and sends out early warning information aiming at the video stream, the early warning information is used for prompting that the target appears in the preset geographic area, and a worker needs to carry out follow-up processing on the target appearing in the preset geographic area.
In one possible implementation, the warning information includes at least one of: the video stream in the early warning activation state and the early warning snapshot picture corresponding to the video stream in the early warning activation state.
Because the video stream is acquired in real time aiming at the preset geographic area, the information such as time, place and the like of the occurrence of the early warning can be quickly known and the state of the target in the preset geographic area with the early warning can be clearly known based on the video stream or the early warning snapshot picture corresponding to the video stream.
The video stream in the early warning activation state is pushed to the staff concerning the current early warning task, so that the staff can quickly know the real-time state of the target in the preset geographic area; and pushing the early warning snapshot corresponding to the video stream in the early warning activation state to the staff concerning the current early warning task, so that the staff can quickly know the state change process of the target in the preset geographic area.
In one possible implementation, the method further includes: determining an early warning snapshot corresponding to the video stream in the early warning activation state; the method specifically comprises the following steps: and extracting image frames of the video stream in the early warning activation state according to a preset time interval, and determining the extracted image frames as early warning snapshot images corresponding to the video stream in the early warning activation state.
For example, for a video stream in an early warning activation state, image frame extraction operation is performed on the video stream every 2 seconds, and then the extracted image frames are determined as early warning snapshot pictures corresponding to the video stream in the early warning activation state; or, the extracted image frames are arranged according to a time reverse order, and the image frame at the top 10 of the order is determined to be an early warning snapshot picture corresponding to the video stream in the early warning activation state, so that the early warning snapshot picture can more clearly display the recent state change of the target in the preset geographic area.
In one possible implementation, the method further includes: determining an early warning snapshot corresponding to the video stream in the early warning activation state; the method specifically comprises the following steps: determining a second image frame with a position change of a target in the video stream according to the first image frame; and determining the second image frame as an early warning snapshot corresponding to the video stream in the early warning activation state.
And the second image frame represents the image frame with the position change of the target in all the first image frames including the target in the video stream. The target is included in different second image frames and the target position is different, but the specific image content in different second image frames is not limited to be identical.
And determining the second image frame with the position change of the target in the video stream in the early warning activation state as the early warning snapshot image corresponding to the video stream in the early warning activation state, so that the early warning snapshot image can more clearly display the state change process of the target in the preset geographic area.
Still taking the above fig. 3 as an example, as shown in fig. 3, when the state of the video stream is the early warning activated state and the first image frame is not detected within the preset second duration, the state of the video stream is changed to the early warning silent state.
In one possible implementation, the method further includes: and under the condition that each image frame to be detected in the preset second time period is not determined as the first image frame, determining that the first image frame is not detected in the preset second time period.
For example, the preset second duration is 60 seconds, and in the case that each image frame to be detected in the continuous 60-second video stream in the early warning activation state is not determined as the first image frame, it is determined that the first image frame is not detected in the continuous 60-second video stream, at this time, the state of the video stream is changed from the early warning activation state to the early warning silence state.
In one possible implementation, the method further includes: determining an early warning event corresponding to the video stream according to the video stream in the early warning activation state, wherein the early warning event comprises at least one of the following information: the method comprises the steps of changing the state of a video stream from an early warning silent state to a first time point of an early warning activated state, changing the state of the video stream from the early warning activated state to a second time point of the early warning silent state, the duration of the video stream in the early warning activated state, an early warning snapshot corresponding to the video stream in the early warning activated state, and the early warning state of an early warning event.
In one possible implementation, the early warning state of the early warning event includes: the early warning system comprises a real-time early warning state and a completed early warning state, wherein the state of an early warning event between a first time point and a second time point is the real-time early warning state, and the state of the early warning event after the second time point is the completed early warning state.
After early warning information aiming at the video stream is sent at a first time point when the state of the video stream is changed from an early warning silent state to an early warning activated state and before a second time point when the state of the video stream is changed from the early warning activated state to the early warning silent state, targets always exist in a preset geographical area, in the process, the early warning state of an early warning event is a real-time early warning state, and continuous early warning is carried out on the early warning event, namely the early warning information aiming at the video stream corresponding to the early warning event is continuously sent; and after the state of the video stream is changed from the early warning activation state to the second time point of the early warning silence state, the target in the preset geographic area disappears, and the early warning state of the early warning event is the completed early warning state, namely the early warning of the early warning event is completed.
And dividing the early warning events of the video stream according to the state of the video stream, and determining an early warning event corresponding to the video stream according to the video stream in an early warning activation state. The early warning event comprises a first time point when the state of the video stream is changed from an early warning silent state to an early warning activated state, a second time point when the state of the video stream is changed from the early warning activated state to the early warning silent state, and the duration of the video stream in the early warning activated state, wherein the video stream corresponds to a preset geographical area, so that the early warning event can support screening and inquiring according to a time range, a geographical area range, a duration range and the like, and a worker can conveniently manage each early warning event corresponding to the video stream in an early warning task.
The early warning method based on video analysis can be applied to early warning of events such as occurrence of sensitive banners, occurrence of fireworks and the like, and early warning is achieved by analyzing and detecting video streams acquired in real time in one or more preset geographic regions.
Take the presence of sensitive banners as an example: when the sensitive banner is determined to appear based on the detection result of multiple target detections within a preset first time length by analyzing and detecting the video stream acquired in real time in the preset geographic area, early warning information is sent out to perform early warning, and the early warning is continuously performed in the process that the sensitive banner continuously exists in the preset geographic area until the sensitive banner disappears for a preset second time length, and then the early warning is stopped.
Take the appearance of fireworks as an example: when fireworks appear in the preset geographic area based on the detection result of multiple target detection in the preset first time length, early warning information is sent out to perform early warning, and the early warning is continuously performed in the process that the fireworks continuously exist in the preset geographic area until the early warning is stopped after the fireworks disappear for the preset second time length.
According to the embodiment of the disclosure, whether the target appears in the preset geographic area is determined based on the detection results of the multiple target detections in the preset first time length, and whether the target disappears in the preset geographic area is determined based on the detection results of the multiple target detections in the preset second time length, so that the target identification accuracy can be improved; the method and the device can effectively realize reasonable early warning by sending early warning information aiming at the video stream under the condition of determining the target in the preset geographic area. The early warning events which are screened and inquired according to the time range, the geographic area range, the duration range and the like can be supported by dividing the video stream, and the early warning events corresponding to the video stream in the early warning task can be managed by the staff conveniently.
In one possible implementation, the video analysis-based warning method may be executed by an electronic device such as a terminal device or a server, the terminal device may be a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like, and the video analysis-based warning method may be implemented by a processor calling a computer-readable instruction stored in a memory. Alternatively, the video analysis-based early warning method may be performed by a server.
It is understood that the above-mentioned method embodiments of the present disclosure can be combined with each other to form a combined embodiment without departing from the logic of the principle, which is limited by the space, and the detailed description of the present disclosure is omitted. Those skilled in the art will appreciate that in the above methods of the specific embodiments, the specific order of execution of the steps should be determined by their function and possibly their inherent logic.
In addition, the present disclosure also provides an early warning device based on video analysis, an electronic device, a computer-readable storage medium, and a program, which can be used to implement any one of the early warning methods based on video analysis provided by the present disclosure, and the corresponding technical solutions and descriptions and corresponding descriptions in the methods section are omitted for brevity.
Fig. 4 shows a block diagram of a video analysis-based early warning apparatus according to an embodiment of the present disclosure. As shown in fig. 4, the apparatus 40 includes:
the detection module 41 is configured to perform target detection on the collected video stream of the preset geographic area, and determine that the video stream includes a first image frame of a target;
a state updating module 42, configured to change the state of the video stream to an early warning activated state when the state of the video stream is an early warning silent state and the first image frame is detected for multiple times within a preset first duration, where the early warning silent state is used to indicate that no target exists in a preset geographic area, and the early warning activated state is used to indicate that a target exists in the preset geographic area;
and the early warning module 43 is configured to send out early warning information for the video stream when the video stream is in an early warning activated state.
In a possible implementation manner, the state updating module 42 is further configured to change the state of the video stream to the early warning silent state if the state of the video stream is the early warning activated state and the first image frame is not detected within the preset second duration.
In one possible implementation, the warning information includes at least one of: the video stream in the early warning activation state and the early warning snapshot picture corresponding to the video stream in the early warning activation state.
In one possible implementation, the apparatus 40 further includes:
the early warning event determining module is used for determining an early warning event corresponding to the video stream according to the video stream in the early warning activation state, wherein the early warning event comprises at least one of the following information: the method comprises the steps of changing the state of a video stream from an early warning silent state to a first time point of an early warning activated state, changing the state of the video stream from the early warning activated state to a second time point of the early warning silent state, the duration of the video stream in the early warning activated state, an early warning snapshot corresponding to the video stream in the early warning activated state, and the early warning state of an early warning event.
In one possible implementation, the early warning state of the early warning event includes: the early warning system comprises a real-time early warning state and a completed early warning state, wherein the state of an early warning event between a first time point and a second time point is the real-time early warning state, and the state of the early warning event after the second time point is the completed early warning state.
In one possible implementation, the preset first time period includes a plurality of first preset time periods;
the detection module 41 is specifically configured to:
and under the condition that at least one image frame to be detected in each first preset time period is determined to be a first image frame, determining that the first image frame is detected for multiple times in a first preset time period.
In one possible implementation, the detection module 41 is specifically configured to:
and under the condition that each image frame to be detected in the preset second time period is not determined as the first image frame, determining that the first image frame is not detected in the preset second time period.
In one possible implementation, the detection module 41 is specifically configured to:
determining an interested area in each image frame to be detected in the video stream;
and carrying out target detection on the image frame to be detected according to the region of interest.
In one possible implementation, the apparatus 40 further includes:
the early warning snapshot image determining module is used for determining an early warning snapshot image corresponding to the video stream in the early warning activation state;
the early warning snapshot image determination module is specifically configured to:
and extracting image frames of the video stream in the early warning activation state according to a preset time interval, and determining the extracted image frames as early warning snapshot images corresponding to the video stream in the early warning activation state.
In one possible implementation, the apparatus 40 further includes:
the early warning snapshot image determining module is used for determining an early warning snapshot image corresponding to the video stream in the early warning activation state;
the early warning snapshot image determination module is specifically configured to:
determining a second image frame with a position change of a target in the video stream according to the first image frame;
and determining the second image frame as an early warning snapshot corresponding to the video stream in the early warning activation state.
In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.
Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-mentioned method. The computer readable storage medium may be a non-volatile computer readable storage medium.
An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.
The disclosed embodiments also provide a computer program product comprising computer readable code, which when run on a device, a processor in the device executes instructions for implementing the video analysis-based warning method provided in any of the above embodiments.
The embodiments of the present disclosure also provide another computer program product for storing computer readable instructions, which when executed cause a computer to perform the operations of the video analysis-based early warning method provided in any of the above embodiments.
The electronic device may be provided as a terminal, server, or other form of device.
Fig. 5 shows a block diagram of an electronic device of an embodiment of the disclosure. For example, the electronic device 500 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like terminal.
Referring to fig. 5, electronic device 500 may include one or more of the following components: processing component 502, memory 504, power component 506, multimedia component 508, audio component 510, input/output (I/O) interface 512, sensor component 514, and communication component 516.
The processing component 502 generally controls overall operation of the electronic device 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 502 may include one or more processors 520 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 502 can include one or more modules that facilitate interaction between the processing component 502 and other components. For example, the processing component 502 can include a multimedia module to facilitate interaction between the multimedia component 508 and the processing component 502.
The memory 504 is configured to store various types of data to support operations at the electronic device 500. Examples of such data include instructions for any application or method operating on the electronic device 500, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 504 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 506 provides power to the various components of the electronic device 500. The power components 506 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the electronic device 800.
The multimedia component 508 includes a screen that provides an output interface between the electronic device 500 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 500 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 510 is configured to output and/or input audio signals. For example, the audio component 510 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 500 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 504 or transmitted via the communication component 516. In some embodiments, audio component 510 further includes a speaker for outputting audio signals.
The I/O interface 512 provides an interface between the processing component 502 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 514 includes one or more sensors for providing various aspects of status assessment for the electronic device 500. For example, the sensor assembly 514 may detect an open/closed state of the electronic device 500, the relative positioning of components, such as a display and keypad of the electronic device 500, the sensor assembly 514 may detect a change in the position of the electronic device 500 or a component of the electronic device 500, the presence or absence of user contact with the electronic device 500, orientation or acceleration/deceleration of the electronic device 500, and a change in the temperature of the electronic device 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 516 is configured to facilitate wired or wireless communication between the electronic device 500 and other devices. The electronic device 500 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 516 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 504, is also provided that includes computer program instructions executable by the processor 520 of the electronic device 500 to perform the above-described method.
Fig. 6 illustrates a block diagram of an electronic device of an embodiment of the disclosure. For example, the electronic device 600 may be provided as a server. Referring to fig. 6, electronic device 600 includes a processing component 622 that further includes one or more processors, and memory resources, represented by memory 632, for storing instructions, such as applications, that are executable by processing component 622. The application programs stored in memory 632 may include one or more modules that each correspond to a set of instructions. Further, the processing component 622 is configured to execute instructions to perform the above-described methods.
The electronic device 600 may also include a power component 626 configured to perform power management for the electronic device 600, a wired or wireless network interface 650 configured to connect the electronic device 600 to a network, and an input/output (I/O) interface 658. The electronic device 600 may operate based on an operating system stored in memory 632, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 632, is also provided that includes computer program instructions executable by the processing component 622 of the electronic device 600 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. An early warning method based on video analysis is characterized by comprising the following steps:
carrying out target detection on a collected video stream of a preset geographic area, and determining a first image frame comprising a target in the video stream;
changing the state of the video stream into an early warning activation state under the condition that the state of the video stream is an early warning silent state and the first image frame is detected for multiple times within a preset first time length, wherein the early warning silent state is used for indicating that the target does not exist in the preset geographic area, and the early warning activation state is used for indicating that the target exists in the preset geographic area;
and sending out early warning information aiming at the video stream under the condition that the video stream is in the early warning activation state.
2. The method of claim 1, further comprising:
and when the state of the video stream is the early warning activation state and the first image frame is not detected within a preset second time, changing the state of the video stream into the early warning silence state.
3. The method of claim 1, wherein the pre-warning information comprises at least one of: the video stream in the early warning activation state and the early warning snapshot picture corresponding to the video stream in the early warning activation state.
4. The method according to any one of claims 1-3, further comprising:
determining an early warning event corresponding to the video stream according to the video stream in the early warning activation state, wherein the early warning event comprises at least one of the following information: the state of the video stream is changed from the early warning silent state to a first time point of the early warning activated state, the state of the video stream is changed from the early warning activated state to a second time point of the early warning silent state, the duration of the video stream in the early warning activated state, an early warning snapshot corresponding to the video stream in the early warning activated state, and the early warning state of the early warning event.
5. The method of claim 4, wherein the early warning state of the early warning event comprises: the early warning system comprises a real-time early warning state and a completed early warning state, wherein the state of the early warning event between the first time point and the second time point is the real-time early warning state, and the state of the early warning event after the second time point is the completed early warning state.
6. The method of claim 1, further comprising:
the preset first time period comprises a plurality of first preset time periods, and under the condition that at least one image frame to be detected in each first preset time period is determined to be the first image frame, the first image frame is determined to be detected for a plurality of times in the first preset time period.
7. The method of claim 2, further comprising:
and under the condition that each image frame to be detected in the preset second time period is not determined as the first image frame, determining that the first image frame is not detected in the preset second time period.
8. An early warning device based on video analysis, comprising:
the detection module is used for carrying out target detection on the collected video stream of the preset geographic area and determining that the video stream comprises a first image frame of a target;
a state updating module, configured to change a state of the video stream to an early warning activated state when the state of the video stream is an early warning silent state and the first image frame is detected for multiple times within a preset first duration, where the early warning silent state is used to indicate that the target does not exist in the preset geographic area, and the early warning activated state is used to indicate that the target exists in the preset geographic area;
and the early warning module is used for sending out early warning information aiming at the video stream under the condition that the video stream is in the early warning activation state.
9. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1 to 7.
10. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 7.
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Application publication date: 20200218 |