CN107281709A - The extracting method and device, electronic equipment of a kind of sport video fragment - Google Patents

The extracting method and device, electronic equipment of a kind of sport video fragment Download PDF

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Publication number
CN107281709A
CN107281709A CN201710502646.3A CN201710502646A CN107281709A CN 107281709 A CN107281709 A CN 107281709A CN 201710502646 A CN201710502646 A CN 201710502646A CN 107281709 A CN107281709 A CN 107281709A
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China
Prior art keywords
video
sport
motion
sport video
acquisition device
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CN201710502646.3A
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Chinese (zh)
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CN107281709B (en
Inventor
李荣清
宋志聪
牟林峰
华桂才
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Cruel Billow Cloud In Shenzhen Calculates Co Ltd
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Cruel Billow Cloud In Shenzhen Calculates Co Ltd
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Priority to CN201710502646.3A priority Critical patent/CN107281709B/en
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    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0062Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B60/00Details or accessories of golf clubs, bats, rackets or the like
    • A63B60/46Measurement devices associated with golf clubs, bats, rackets or the like for measuring physical parameters relating to sporting activity, e.g. baseball bats with impact indicators or bracelets for measuring the golf swing

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)

Abstract

The disclosure discloses the extracting method and device, electronic equipment, computer-readable recording medium of a kind of sport video fragment, and this method can apply to motion tracker, and this method includes:Coordinate the sport video gatherer process performed by video acquisition device, gather the motion state parameterses of sport video gatherer process;Determine that effective exercise present in sport video is acted according to motion state parameterses, obtain effective exercise and act corresponding time point;Corresponding time point generation video segment is acted according to effective exercise and extracts triggering command, and is sent to video acquisition device, the sport video fragment that triggering command indicates to be extracted in the sport video that video acquisition device is gathered is extracted by video segment.The such scheme that the disclosure is provided, without complicated computing, it is possible to extract the video segment of excellent motion moment, without artificial lookup, saves human cost, and computation complexity is low, improves the accuracy and reliability of sport video snippet extraction.

Description

The extracting method and device, electronic equipment of a kind of sport video fragment
Technical field
This disclosure relates to technical field of video processing, the extracting method and device of more particularly to a kind of sport video fragment, Electronic equipment, computer-readable recording medium.
Background technology
The splendid moment caught in motion process is the very meaningful thing of part.For popular sports fan, Ke Yifen Enjoy, look back splendid moment;For large-scale game, spectators can be extracted during relay and like the splendid moment of viewing to play back, are met The demand of spectators;For sportsman, coach, drill program can be formulated by analyzing the characteristics of moving moment, research action.
Prior art, which catches excellent motion moment video segment, 3 kinds of methods:1st, Manual interception:Shoot complete using camera Motion process, then again by artificial method, find splendid moment, and intercept.2nd, image recognition:Using software, lead to Cross to whether there is in the extraction and analysis for carrying out the sportsman in video or sports equipment image, the every two field picture of judgement and belong to The athletic performance of splendid moment, if it does, automatic interception.3rd, speech recognition:Using software, by entering to the sound in video Row is extracted and analyzed, if meeting the condition of splendid moment, automatic interception.I.e. based on the sound for catching surrounding environment, for example, enter During ball score, spectators can hail applause, after this section of voice signal is recognized by, and carry out splendid moment video and cut Take.
Because the video data volume of a race is larger, manually search splendid moment, workload is big, take many, Er Qierong Easily neglect some moment.Particularly with splendid moment video segment interception, people need to be carried out by the real-time race of media relay It is bigger that work searches difficulty.And image recognition mode, due to high to software analysis Capability Requirement, therefore more software need to be spent to open Cost is sent out, and has higher requirement to picture quality and quantity.Using the mode of speech recognition, phonetic feature is individual indirect Amount, if in the occasion without spectators, it is just inapplicable.And athletic ground has other noise jamming, to voice signal Collect and analyze, complexity can increase, and accuracy can also have an impact.
To sum up, the difficulty using the excellent motion moment video segment of prior art seizure is larger.
The content of the invention
In order to solve that the problem of excellent difficulty for moving moment video segment is larger, this public affairs are caught present in correlation technique Open there is provided a kind of extracting method of sport video fragment.
On the one hand, present disclose provides a kind of extracting method of sport video fragment, methods described is applied to motion tracking Device, methods described includes:
Coordinate the motion tracker itself to connect the sport video gatherer process performed by video acquisition device, gather institute The motion state parameterses of sport video gatherer process are stated, the motion state parameterses are used to describe to gather in sport video to move The athletic performance of object;
Determine that effective exercise present in the sport video is acted according to the motion state parameterses, obtain described effective Athletic performance corresponding time point;
Corresponding time point generation video segment is acted according to the effective exercise and extracts triggering command, and is sent to described Video acquisition device, extracts triggering command by the video segment and indicates in the sport video that the video acquisition device is gathered The sport video fragment being extracted.
On the other hand, the disclosure additionally provides a kind of extracting method of sport video fragment, and methods described is applied to video Harvester, methods described includes:
The video acquisition device is coordinated itself to connect the motion state parameterses gatherer process of motion tracker, the fortune Dynamic state parameter is used to describe the athletic performance produced by Moving Objects, gathers the sport video of the Moving Objects;
The video segment extraction triggering command that the motion tracker is sent is received, the video segment extracts triggering command Generated by the motion tracker according to the motion state parameterses of collection;
According to indicated by the video segment extracts triggering command sport video fragment to be extracted in sport video when Between point, the sport video fragment is extracted from the sport video.
Another further aspect, the disclosure additionally provides a kind of extraction element of sport video fragment, and described device is applied to motion Tracker, described device includes:
Data acquisition module, the motion for coordinating the motion tracker itself to connect performed by video acquisition device is regarded Frequency gatherer process, gathers the motion state parameterses of the sport video gatherer process, and the motion state parameterses are used to describe institute Gather the athletic performance of Moving Objects in sport video;
Time obtains module, for determining effective exercise present in the sport video according to the motion state parameterses Action, obtains the effective exercise and acts corresponding time point;
Instruction sending module, triggering is extracted for acting corresponding time point generation video segment according to the effective exercise Instruction, and the video acquisition device is sent to, extracting triggering command by the video segment indicates the video acquisition device The sport video fragment being extracted in the sport video gathered.
In addition, the disclosure additionally provides a kind of electronic equipment, the electronic equipment includes:
Processor;
Memory for storing processor-executable instruction;
Wherein, the processor is configured as performing the extracting method of above-mentioned sport video fragment.
In addition, the disclosure additionally provides a kind of computer-readable recording medium, the computer-readable recording medium storage There is computer program, the computer program can be completed the extracting method of above-mentioned sport video fragment by computing device.
The technical scheme provided by this disclosed embodiment can include the following benefits:
The such scheme that the disclosure is provided, the motion state parameterses of Moving Objects is gathered by motion tracker, according to fortune There is effective athletic performance in dynamic state parameter, can consider for there is the time point of effective athletic performance to judge whether to belong to It is splendid moment, and then video segment is sent to video acquisition device to extract triggering command, by video acquisition device from collection The sport video fragment at effective exercise action correspondence time point is extracted in sport video, without complicated computing, it is possible to The video segment of excellent motion moment is extracted, due to without manually searching, saving more human cost, and due to meter Calculate complexity low, reduce software development cost, improve the accuracy of the sport video snippet extraction of splendid moment and reliable Property, the excellent motion moment video for realizing lightweight is caught.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary, this can not be limited It is open.
Brief description of the drawings
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows the implementation for meeting the present invention Example, and in specification together for explaining principle of the invention.
Fig. 1 is the schematic diagram of the implementation environment according to involved by the disclosure;
Fig. 2 is a kind of block diagram of device according to an exemplary embodiment;
Fig. 3 is a kind of flow chart of the extracting method of sport video fragment according to an exemplary embodiment;
Fig. 4 is a kind of structural representation of motion tracker according to an exemplary embodiment;
Fig. 5 is the hardware assembling schematic diagram of motion tracker;
Fig. 6 is that the motion tracker assembled is applied to the schematic diagram inside racket handle;
Fig. 7 is the schematic diagram that video acquisition device carries out video acquisition;
Fig. 8 is a kind of flow chart of the extracting method of the sport video fragment shown on the basis of Fig. 3 correspondence embodiments;
Fig. 9 is the schematic flow sheet of the details of step 330 in Fig. 3 correspondence embodiments;
Figure 10 is the handle inner schematic diagram that motion tracker is arranged on to baseball rod;
Figure 11 extracts for video acquisition device from the sport video of collection includes the sport video piece of some frame pictures The schematic diagram of section;
Figure 12 is the schematic flow sheet of the details of step 330 in Fig. 3 correspondence embodiments;
Figure 13 is a kind of flow chart of the extracting method of sport video fragment according to another exemplary embodiment;
Figure 14 is a kind of block diagram of the extraction element of sport video fragment according to an exemplary embodiment;
Figure 15 is a kind of block diagram of the extraction element of sport video fragment according to another exemplary embodiment.
Embodiment
Here explanation will be performed to exemplary embodiment in detail, its example is illustrated in the accompanying drawings.Following description is related to During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment Described in embodiment do not represent and the consistent all embodiments of the present invention.On the contrary, they be only with it is such as appended The example of the consistent apparatus and method of some aspects be described in detail in claims, the present invention.
Fig. 1 is the schematic diagram of the implementation environment according to involved by the disclosure.The implementation environment includes:Video acquisition device 110 and motion tracker 120.
Interrelational form between video acquisition device 110 and motion tracker 120, includes the network associate mode of hardware And/or agreement, and the data correlation mode come and gone therebetween.Video acquisition device 110 can be with video record work( Smart mobile phone, tablet personal computer, intelligent video camera head, smart camera of energy etc..
And motion tracker 120 can be assemblied in sports equipment (such as tennis racket, baseball bat, racket, height as needed Golf ball rod, wall ball racket, cricket) handle inner, the motion process that pursuit movement equipment is performed can also be as needed It is worn on the positions such as wrist, the ankle of players, the motion of tracking wrist or ankle.In addition, the motion tracking as needed Device 120 can also be arranged on the edge of football ball frame or basketball ball frame, and whether detection football or basketball enter goal frame, herein will not Enumerated, can be set according to actual needs one by one.
Further, the extracting method for the sport video fragment that motion tracker 120 can be provided using the disclosure, according to inspection The motion state parameterses of the Moving Objects (sports equipment or players) measured, and then send and regard to video acquisition device 110 Frequency snippet extraction triggering command so that video acquisition device 110 extracted from the Moving Objects sport video of recording needed for Sport video fragment.Wherein, the sport video fragment can be a splendid moment corresponding video segment or be used for The corresponding video segment of a standard operation of teaching.
Fig. 2 is a kind of block diagram of device 200 according to an exemplary embodiment.For example, device 200 can be Fig. 1 Video acquisition device 110 in shown implementation environment, the device 200 can also be the motion tracking in implementation environment shown in Fig. 1 Device.
Reference picture 2, device 200 can include following one or more assemblies:Processing assembly 202, memory 204, power supply Component 206, multimedia groupware 208, audio-frequency assembly 210, sensor cluster 214 and communication component 216.
The integrated operation of the usual control device 200 of processing assembly 202, such as with display, call, data communication, phase Operation that machine is operated and record operation is associated etc..Processing assembly 202 can include one or more processors 218 to perform Instruction, to complete all or part of step of following methods.In addition, processing assembly 202 can include one or more modules, It is easy to the interaction between processing assembly 202 and other assemblies.For example, processing assembly 202 can include multi-media module, with convenient Interaction between multimedia groupware 208 and processing assembly 202.
Memory 204 is configured as storing various types of data supporting the operation in device 200.These data are shown Example includes the instruction of any application program or method for operating on the device 200.Memory 204 can be by any kind of Volatibility or non-volatile memory device or combinations thereof realization, such as static RAM (Static Random Access Memory, abbreviation SRAM), Electrically Erasable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, abbreviation EEPROM), Erasable Programmable Read Only Memory EPROM (Erasable Programmable Read Only Memory, abbreviation EPROM), programmable read only memory (Programmable Red- Only Memory, abbreviation PROM), read-only storage (Read-Only Memory, abbreviation ROM), magnetic memory, flash Device, disk or CD.Also be stored with one or more modules in memory 204, and one or more modules are configured to by this One or more processors 218 are performed, to complete the whole in any shown method of following Fig. 3, Fig. 8, Fig. 9, Figure 12 and Figure 13 Or part steps.
Power supply module 206 provides electric power for the various assemblies of device 200.Power supply module 206 can include power management system System, one or more power supplys, and other components associated with generating, managing and distributing electric power for device 200.
Multimedia groupware 208 is included in the screen of one output interface of offer between described device 200 and user.One In a little embodiments, screen can include liquid crystal display (Liquid Crystal Display, abbreviation LCD) and touch panel. If screen includes touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel Including one or more touch sensors with the gesture on sensing touch, slip and touch panel.The touch sensor can be with The not only border of sensing touch or sliding action, but also the detection duration related to the touch or slide and pressure Power.Screen can also include display of organic electroluminescence (Organic Light Emitting Display, abbreviation OLED).
Audio-frequency assembly 210 is configured as output and/or input audio signal.For example, audio-frequency assembly 210 includes a Mike Wind (Microphone, abbreviation MIC), when device 200 is in operator scheme, such as call model, logging mode and speech recognition mould During formula, microphone is configured as receiving external audio signal.The audio signal received can be further stored in memory 204 or sent via communication component 216.In certain embodiments, audio-frequency assembly 210 also includes a loudspeaker, for exporting Audio signal.
Sensor cluster 214 includes one or more sensors, and the state for providing various aspects for device 200 is commented Estimate.For example, sensor cluster 214 can detect opening/closed mode of device 200, the relative positioning of component, sensor group Part 214 can be with the position change of 200 1 components of detection means 200 or device and the temperature change of device 200.At some In embodiment, the sensor cluster 214 can also include Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 216 is configured to facilitate the communication of wired or wireless way between device 200 and other equipment.Device 200 can access the wireless network based on communication standard, such as WiFi (WIreless-Fidelity, Wireless Fidelity).Show at one In example property embodiment, communication component 216 receives broadcast singal or broadcast from external broadcasting management system via broadcast channel Relevant information.In one exemplary embodiment, the communication component 216 also includes near-field communication (Near Field Communication, abbreviation NFC) module, to promote junction service.For example, radio frequency identification (Radio can be based in NFC module Frequency Identification, abbreviation RFID) technology, Infrared Data Association (Infrared Data Association, abbreviation IrDA) technology, ultra wide band (Ultra Wideband, abbreviation UWB) technology, Bluetooth technology and other skills Art is realized.
In the exemplary embodiment, device 200 can be by one or more application specific integrated circuit (Application Specific Integrated Circuit, abbreviation ASIC), it is digital signal processor, digital signal processing appts, programmable Logical device, field programmable gate array, controller, microcontroller, microprocessor or other electronic components are realized, for performing Following methods.
Fig. 3 is a kind of flow chart of the extracting method of sport video fragment according to an exemplary embodiment.The fortune The scope of application and executive agent of the extracting method of dynamic video segment, for example, this method is used for the motion of implementation environment shown in Fig. 1 In tracker 120.As shown in figure 3, the executive agent of this method is motion tracker 120, it may comprise steps of.
In the step 310, the sport video performed by routing motion tracker 120 itself connection video acquisition device 110 Gatherer process, gathers the motion state parameterses of sport video gatherer process, and motion state parameterses gather motion for description and regarded The athletic performance of Moving Objects in frequency.
Wherein, wireless connection is used between motion tracker 120 and video acquisition device 110, video acquisition device 110 can To be the mobile communication equipment with video record function, such as mobile phone, tablet personal computer, smart camera.
Motion tracker 120 is engaged the extraction for realizing sport video fragment with video acquisition device 110.First, video The motion for being directed to Moving Objects progress is persistently carried out video acquisition by harvester 110 as the source of sport video.Fortune Dynamic object can refer to players or sports equipment.And gather the sport video mistake of Moving Objects in video acquisition device 110 Cheng Zhong, motion tracker 120 accordingly gathers the motion state parameterses of Moving Objects.The position installed according to motion tracker 120 Put and athletic performance in terms of difference, the motion state parameterses can include the ginseng such as acceleration, angular speed, heart rate, cadence Number, can also be signal for moving to ad-hoc location etc..Wherein, when players carry out different athletic performance (such as dunk shot, buttons Kill, double hit) when, the numerical value of the motion state parameterses of collection is different.In other words, according to the number of the motion state parameterses collected Value is different, it may be determined that the athletic performance of players or the motion state of sports equipment.
In a kind of exemplary embodiment, as shown in figure 4, the motion tracker 120 can include power module 41, sensing Device module 42, microcontroller computing module 43, communication module 44.Wherein, power module 41 is each in motion tracker 120 Module for power supply, sensor assembly 42 can include GPS (Global Positioning System global positioning systems), infrared Sensor, gyroscope, accelerometer, cardiotach ometer etc..The fortune that microcontroller computing module 43 can be gathered to sensor assembly 42 Dynamic state parameter is calculated and judges whether to meet the condition specified, when meeting specified requirements, it is believed that in splendid moment Or belong to standard movement action, the extraction of video segment can be carried out, and then generates video segment extracting triggering command, and lead to Communication module 44 is crossed to send video segment extraction triggering command to the video acquisition device 110 connected.Communication module 44 The communication connection of motion tracker 120 and video acquisition device 120 can be set up using bluetooth or WIFI communication forms.
In a step 330, determine that effective exercise present in sport video is acted according to motion state parameterses, obtain effective Athletic performance corresponding time point.
For example, motion tracker 120 may be mounted inside football, be configured with motion tracker 120 GPS and Acceleration transducer, the motion state parameterses collected include the positional information and acceleration information of football.Motion tracking GPS in device 120 can be positioned to football, obtain the positional information of football, and acceleration transducer can gather football Acceleration information determines whether football is hit, and then can decide whether according to the positional information and acceleration information of football In shot (namely effective exercise action), when football is located proximate to goal and is hit, it is believed that motion pair As that is, football is being performed the motion process of shooting.Football is by shock it is considered that category within a period of time at goal In splendid moment, it is necessary to which the video segment gathered to the video acquisition device 110 of the period is extracted.
For example, motion tracker 120 can be worn at the ankle of human body or wrist, detection heart rate is (per second Beats) and cadence (step number per second), when cadence is more than certain value and heart rate reaches designated value, it is believed that the moment Belong to the splendid moment that there is effective athletic performance, it is necessary to be preserved to the video pictures at the moment.
For example, motion tracker 120 can be arranged on inside the racket handle of ball game, is waved in players Wave racket during, gather racket motion state parameterses, such as acceleration, angular speed, according to these motion state parameterses come Determine whether it is smash action (i.e. effective exercise is acted), and then obtain smash action corresponding time point.Smash is acted A splendid moment is may be considered, can act corresponding video segment to smash as needed extracts.Such as Fig. 5 institutes Show, be the hardware assembling schematic diagram of motion tracker 120, as shown in fig. 6, the motion tracker 120 assembled is applied into ball Clap handle inner.
In step 350, corresponding time point generation video segment is acted according to the effective exercise and extracts triggering command, And the video acquisition device is sent to, extracting triggering command by the video segment indicates that the video acquisition device is gathered Sport video in the sport video fragment that is extracted.
It should be noted that effective exercise action refers to compare excellent athletic performance present in motion process.Example Such as, shooting action, action of hitting a ball, smash action, double hit action etc..
It is as shown in table 1 below, it is a kind of form that video segment extracts triggering command.
A kind of video segment of table 1 extracts triggering command form
Wherein, the video segment extract triggering command can include effective athletic performance at the beginning of between and the end time. The speed and strength of effective athletic performance can also be included as needed.Motion tracker 120 is by the way that the video segment is extracted Triggering command is sent to video acquisition device 110, so that video acquisition device 110 indicates the time started according to the triggering command With the video segment of end time extraction corresponding period from itself buffered motion video data.
It should be noted that in motion state parameterses gatherer process, as shown in fig. 7, video acquisition device 110 is located always In video record state, and the motion that the sport video of collection and motion tracker 120 can be in real time collected as needed State parameter is combined.Wherein, the motion video data stream that video acquisition device 110 is gathered can be temporarily stored in one and be defined as In BUFF buffering area, when receiving above-mentioned video segment extraction triggering command, the correspondence period is read from buffering area Video segment is preserved, and is used as splendid moment video segment.
As needed, can be using the picture at moment splendid moment is as the front cover of the video segment of extraction or is separately stored as One photo, all splendid moment video segments can be stored in the internal memory of video acquisition device 110 in the form of a list, Each splendid moment video segment or photo can be generated by album by existing software APP, shared or played.
In the prior art, in order to extract it is excellent motion moment picture, it is necessary to manually be checked to each frame picture, work Work amount is larger, and by way of image recognition or speech recognition, Software for Design complexity is high, and difficulty is big, software development cost It is higher, and image recognition requires high to image quality, it is difficult for the relatively low image recognition of image quality, and voice recognition mode by In there is noise jamming, identification difficulty is also larger, and when in the absence of spectators, the mode of speech recognition will be unable to be applicable.
The such scheme provided by the disclosure, it is possible to the motion of lightweight is realized based on various portable mobile terminals Video segment is extracted, and can be obtained corresponding sport video fragment according to the progress of motion at any time, is not limited by terminal and set It is standby, also such that the such scheme that the extraction and playback of sport video fragment can be provided by the disclosure and obtain popularization and wide General application.
Optionally, before step 310, as shown in figure 8, the extracting method of the sport video fragment can also include with Lower step.
In step 301, the connection request that the video acquisition device 110 is sent is received, is built according to the connection request Vertical radio communication between the motion tracker and the video acquisition device;
Specifically, motion tracker 120 receives the connection request that video acquisition device 110 is sent, the connection request can be with It is the Bluetooth connection request set up between motion tracker 120 and video acquisition device 110.Pass through what is indicated in the connection request The identification information of video acquisition device 110, the video acquisition device 110 corresponding with the identification information of motion tracker 120 is set up Bluetooth connection.
In step 302, the connection of the correspondence connection request is fed back to the video acquisition device after connection is completed Success message;
Specifically, motion tracker 120 is set up with video acquisition device 110 after being connected, motion tracker 120 is adopted to video Acquisition means 110 send successful connection message.
In step 303, receive the video acquisition device and respond the video acquisition work(that the successful connection message is returned Message can be had turned on.
Specifically, video acquisition device 110 is received after successful connection message, video acquisition function is opened, and opening After success, send video acquisition function to motion tracker and have turned on message.Motion tracker 120 and video acquisition so as to after Device 110 coordinates, and in the sport video gatherer process of video acquisition device 110, carries out the collection of motion state parameterses.
Further, Fig. 9 is the schematic flow sheet of the details of step 330 in Fig. 3 correspondence embodiments, as shown in figure 9, step 330 specifically may comprise steps of:
In step 331, the three-axis moving component obtained according to the Moving Objects by sensor continuous collecting, it is determined that fortune The movement locus of dynamic object.
Sensor herein can be three axis accelerometer, in order to improve the accuracy of testing result, the sensor except Outside including three axis accelerometer, three-axis gyroscope and/or three axle geomagnetic sensors can also be included.It should be noted that in thing When body low-speed motion, it can judge to obtain gestures of object by component (accelerometer obtain) of the acceleration on each axle; Meanwhile, by geomagnetic sensor it can also be seen that object is in the direction (all directions) of world's reference axis, but gyroscope is low During speed motion, drift is had;And in the process of objects at high speed motion, gyroscope can accurately obtain the anglec of rotation of object, i.e., Obtain accurately changing posture.But accelerometer and geomagnetic sensor are in high-speed motion, larger, low precision is disturbed;
It is preferred, therefore, that the data of 3 sensors can be combined, mutual correction is more accurately worth.Mutual correction Algorithm be called posture blending algorithm, most common of which has:Kalman filtering (posture blending algorithm);Melted by above-mentioned posture After conjunction, the component of acceleration of accurate three axle (X-axis, Y-axis, Z axis) can be obtained, and meets world coordinate system (all directions It is consistent with real world).It may then pass through integrated acceleration and obtain speed, displacement, and then obtain movement locus.
In a kind of specific embodiment, three-dimensional space is included by the component of acceleration obtained after 3 sensor mutual corrections Between scalar value on coordinate, i.e. value in X-axis, the value in the value and Z axis in Y-axis, a is used respectivelyx, ay, azRepresent.If one opens Beginning Moving Objects are inactive state, according to formulaIt is relative that Moving Objects can be calculated after t after a while The displacement of original coordinates is Dx, Dy, Dz.Wherein, 3-axis acceleration component is calculated using aforesaid way, can be transported Dynamic displacement of the object in each data acquisition intervals, that is, obtain the movement locus of Moving Objects.
Wherein, the movement velocity of Moving Objects can be by the relative displacement in a period of time tDivided by Interval time, t was obtained.In a kind of exemplary embodiment, can using movement velocity as judge whether to belong to splendid moment according to According to when movement velocity is more than preset value (such as 150,000 ms/h), it is believed that belong to splendid moment, it is necessary to the moment Video segment is extracted.
According to practical application request, the sensor can be three-axis gyroscope and three axis accelerometer, application method and upper Face is basically identical, and unique difference is the posture obtained after no geomagnetic sensor (value=0), i.e. posture fusion, is not true Real sensing all directions.But some application scenarios are not influenceed, such as one spiking, and do not have pass towards all directions System, can use three-axis gyroscope and three axis accelerometer to calculate movement locus.
Certainly corrected without gyroscope, only with three axis accelerometer, according to the 3-axis acceleration component of triaxial accelerometer Testing result, and movement locus can also be obtained using above-mentioned moving track calculation method, this is relatively simple and straightforward side Method, simply precision have some influence.In special occasions, there was only the action of rotary motion for some, then can be only with three Axle gyroscope, the three axis angular rate components detected according to three-axis gyroscope, displacement can be obtained by the integration to the time.And For needing to judge solid space track, then need to coordinate three axis accelerometer to carry out track determination.
In step 332, movement locus is compared with pre-stored movement locus sample.
It should be noted that the movement locus sample of some effective exercises action can be gathered in advance, and it is stored in motion In the memory cell of tracker 120, for example, the movement locus sample of smash action can be stored.Pass through obtain step 331 The movement locus sample that movement locus is acted with stored effective exercise is compared, and judges the fortune that step 331 is obtained Whether dynamic rail mark is effective exercise action, for example, if be smash action.
In step 333, if the movement locus of Moving Objects and the movement locus sample matches, obtain the motion Track corresponding time point.
Specifically, when the movement locus for the Moving Objects that step 331 is obtained is transported with effective exercise action (such as spiking) During dynamic rail mark sample matches (track is same or similar), it is believed that the movement locus corresponding period belongs to effective exercise and moved The period of work, in other words, the period belong to splendid moment, obtain the period at corresponding time point, that is, move Between at the beginning of track and the end time.
As shown in Figure 10, motion tracker 120 can be arranged on to the handle inner of baseball rod, so as to pass through step 331 Movement locus during baseball rod can be obtained waving, and be compared by the movement locus sample acted with effective exercise, can Whether it is effective exercise action with the action for judging to wave baseball rod, and then can be according to judged result to video acquisition device 110 send the instruction for extracting video segment.As shown in figure 11, video acquisition device 110 can be carried from the sport video of collection Taking-up includes the sport video fragment of some frame pictures.The moment of effect athletic performance is not comprised only in the video segment, according to Need that movement velocity, time, the angle for impacting track, impact rotating speed that the calculating of motion tracker 120 is obtained etc. can also be included Information.
It is further to note that in order to by sensor judge some action whether splendid moment, can also be independent of Judged in movement locus, can also be real by pattern-recognition directly using the initial data of accelerometer or gyroscope The judgement of existing effect athletic performance, it is determined whether belong to splendid moment.
For example, 100 groups of certain excellent action A initial data can be gathered as training sample, using SVM or The sorting algorithms such as KNN (are similar to machine learning), can also judge whether the initial data of new input action belongs to excellent action Moment.So using different sensors, there may be the mode of many judgement splendid moments.
In a further exemplary embodiment, Figure 12 is the schematic flow sheet of the details of step 330 in Fig. 3 correspondence embodiments, As shown in figure 12, step 330 specifically may comprise steps of:
In step 1201, the three-axis moving component obtained according to the Moving Objects by sensor continuous collecting judges Whether Moving Objects are by external force collision.
Specifically, the sensor can include three axis accelerometer, according to accuracy of detection demand, three axle tops can also be included Spiral shell instrument and/or three axle geomagnetic sensors.Need explanation but, when Moving Objects are not by external force collision, only by gravity Effect, that is, the gravity acceleration g in the presence of the vertical earth straight down.Assuming that gravity direction is Z negative directions.Not by external force During shock, Z axis component of acceleration is g, and X-axis and Y-axis component of acceleration are 0.And when by external force collision, Z axis and Y-axis are present Component of acceleration.Therefore the 3-axis acceleration component of Moving Objects is calculated by the measurement result of the above-mentioned sensor enumerated, can To judge Moving Objects whether by external force collision.
In step 1202, if Moving Objects are obtained the time point by external force collision by external force collision.
By taking baseball as an example, by by motion tracker 120 be arranged on baseball in, step 1201 judge baseball by During to external force collision, it is believed that there is effective athletic performance impact baseball, time point of the baseball by external force collision can be obtained, The moment, which can consider, belongs to splendid moment, it is necessary to carry out the extraction of video segment.As needed, can count it is per minute by The number of times of external force collision, for example it is per minute hit number of times more than 20 times when, it is believed that the period motion ratio is fiercer, category In splendid moment, it is necessary to the extraction of the splendid moment of progress, in other words, it is per minute hit number of times more than 20 times when, to video Harvester 110 sends video segment and extracts triggering command.
In a kind of exemplary embodiment, it can also be more than by calculating baseball speed in baseball speed During pre-set velocity value (such as 120,000 ms/h), it is believed that belong to splendid moment, it is necessary to carry out the extraction of video segment.
In another embodiment, step 330 may comprise steps of:
The detectable signal of the Moving Objects positional information is included according to collection, it is determined that making fortune in the presence of effective athletic performance Dynamic object enters the region that the detectable signal is covered, and obtains the time point for collecting the detectable signal.
For example, the sensor assembly of motion tracker 110 can include infrared sensor, and infrared sensor is generally wrapped Infrared emission end and infrared receiver end are included, can detect and whether there is shelter between infrared emission end and infrared receiver end, is led to Cross and motion tracker 110 is arranged on basketball rim edge, can block that infrared emission end sends when basketball enters goal frame is infrared Signal, there is effective athletic performance (shooting) with this determination makes basketball enter goal frame, and then can obtain infrared signal and be blocked Time point.Initial time and the end time of act of shooting are estimated that according to this time point, sport video piece is generated Section extracts triggering command.
For example, the sensor assembly of motion tracker 110 can include ultrasonic detector, using launching ultrasonic wave Enter goal frame to detect whether to exist Moving Objects (such as football, basketball), and accordingly generate the triggering of sport video snippet extraction Instruction.
Detect whether to score through the above way, reliability is higher, and motion tracker 110 simple in construction, cost Relatively low, without complicated computing, sensitivity is higher, and accuracy can reach 100%.
Figure 13 is a kind of flow chart of the extracting method of sport video fragment according to another exemplary embodiment.Should The scope of application and executive agent of the extracting method of sport video fragment, for example, this method is used for implementation environment as shown in Figure 1 In video acquisition device 110.As shown in figure 13, the extracting method of the sport video fragment may comprise steps of.
In step 1310, the motion state parameterses for coordinating the video acquisition device itself to connect motion tracker are adopted Collection process, the motion state parameterses are used to describe the athletic performance produced by Moving Objects, gather the fortune of the Moving Objects Dynamic video;
With reference to above-mentioned example embodiment, the video acquisition device 110 can be that the movement with video record function is led to Believe equipment, such as mobile phone, tablet personal computer, smart camera.The sport video process of Moving Objects is gathered in video acquisition device 110 In, motion tracker 120 also gathers the motion state parameterses of Moving Objects in real time.The motion state parameterses can include accelerating The parameters such as degree, angular speed, heart rate, cadence, can also be and move to signal that ad-hoc location is detected etc..In different motion action The motion state parameterses of lower collection are different, so the motion state parameterses of collection can characterize the athletic performance of Moving Objects.
In step 1330, the video segment extraction triggering command that the motion tracker is sent, the piece of video are received Section is extracted triggering command and generated by the motion tracker according to the motion state parameterses of collection;
With reference to above-mentioned example embodiment, motion tracker 120 determines sport video according to the motion state parameterses of collection Present in effective exercise action, obtain effective exercise and act corresponding time point, and the time point acted according to effective exercise Sport video snippet extraction triggering command is generated, and the triggering command is sent to video acquisition device 110, wherein, the triggering Indicate sport video fragment to be extracted in the sport video that video acquisition device is gathered.Video acquisition device 110 Receive the video segment extraction triggering command that motion tracker 120 is sent.
In step 1350, motion to be extracted in the sport video according to indicated by the video segment extracts triggering command At the time point of video segment, the sport video fragment is extracted from the sport video.
It should be noted that during collection motion state parameterses, video acquisition device 110 is constantly in opening And gather the sport video of Moving Objects.In one embodiment, all motions of the video acquisition device 110 to continuous collecting are regarded Frequency is preserved, and sport video fragment to be extracted is corresponding opens according to indicated by the video segment of reception extraction triggering command Time beginning and end time, the period corresponding sport video fragment is intercepted from the sport video of preservation.
In another embodiment, after the sport video that step 1310 gathers the Moving Objects, the motion is regarded The extracting method of frequency fragment can also include:
The sport video of collection is cached, if spatial cache is full and not yet receives to the sport video Video segment extract triggering command, then delete the motion video data cached earliest.
The sport video of collection is temporarily stored in one and is defined as in BUFF buffering area by video acquisition device 110, buffering area In reserve a certain size internal memory (such as 10M) be used for keep in sport video, when receive video segment extract triggering command when, from Required video segment is extracted in temporary sport video.If spatial cache is full and not yet receives the triggering command, The motion video data of relatively early caching can be deleted, slot milling keeps in the sport video of subsequent acquisition.Because video takes sky Between it is larger, in time delete without extract motion video data, it is possible to reduce to the occupancy of internal memory.
Following is disclosure device embodiment, can be used for performing the motion that the above-mentioned motion tracker 120 of the disclosure is performed The extracting method embodiment of video segment.For the details not disclosed in disclosure device embodiment, disclosure motion refer to The extracting method embodiment of video segment.
Figure 14 is a kind of block diagram of the extraction element of sport video fragment according to an exemplary embodiment, the motion The extraction element of video segment can be used in the motion tracker 120 of implementation environment shown in Fig. 1, perform Fig. 3, Fig. 8, Fig. 9, figure The all or part of step of the extracting method of 12 any shown sport video fragments.As shown in figure 14, the device include but It is not limited to:Data acquisition module 1410, time obtain module 1430 and instruction sending module 1450.
Data acquisition module 1410, for coordinating the motion tracker itself to connect the fortune performed by video acquisition device Dynamic video acquisition process, gathers the motion state parameterses of the sport video gatherer process, and the motion state parameterses are used to retouch State the athletic performance of Moving Objects in gathered sport video;
Time obtains module 1430, for being determined according to the motion state parameterses present in the sport video effectively Athletic performance, obtains the effective exercise and acts corresponding time point;
Instruction sending module 1450, is extracted for acting corresponding time point generation video segment according to the effective exercise Triggering command, and the video acquisition device is sent to, extracting triggering command by the video segment indicates the video acquisition The sport video fragment being extracted in the sport video that device is gathered.
The function of modules and the implementation process of effect specifically refer to carrying for above-mentioned sport video fragment in said apparatus The implementation process of correspondence step in method is taken, be will not be repeated here.
Data acquisition module 1410 such as can be some physical arrangement sensor cluster 214 in Fig. 2.
It can also be functional module that time, which obtains module 1430 and instruction sending module 1450, for performing above-mentioned motion Corresponding step in the extracting method of video segment.It is appreciated that these modules can pass through hardware, software or the two combination To realize.Such as when realizing in hardware, these modules may be embodied as one or more hardware modules, one or more Application specific integrated circuit.When being realized with software mode, these modules may be embodied as what is performed on the one or more processors The program of storage in memory 204 performed by the processor 218 of one or more computer programs, such as Fig. 2.
Figure 15 is a kind of block diagram of the extraction element of sport video fragment according to another exemplary embodiment, the fortune The extraction element of dynamic video segment can be used in the video acquisition device 110 of implementation environment shown in Fig. 1, perform shown in Figure 13 The all or part of step of the extracting method of sport video fragment.As shown in figure 15, the extraction element of the sport video fragment Including but not limited to:Video acquisition module 1510, command reception module 1530 and video extraction 1550.
Video acquisition module 1510, for coordinating the video acquisition device itself to connect the motion shape of motion tracker State parameter acquisition process, the motion state parameterses are used to describe the athletic performance produced by Moving Objects, gather the motion The sport video of object;
Command reception module 1530, triggering command, institute are extracted for receiving the video segment that the motion tracker is sent State video segment and extract triggering command by the motion tracker according to the generation of the motion state parameterses of collection;
Video extraction 1550, for waiting to carry in the sport video according to indicated by video segment extraction triggering command At the time point of the sport video fragment taken, the sport video fragment is extracted from the sport video.
In said apparatus the function of modules with effect implementation process specifically refer to Figure 13 and Figure 13 it is corresponding implement The implementation process of correspondence step, will not be repeated here in the extracting method of example sport video fragment.
Optionally, the disclosure also provides a kind of electronic equipment, and the electronic equipment can be used for the fortune of implementation environment shown in Fig. 1 In dynamic tracker 120, perform Fig. 3, Fig. 8, Fig. 9, Figure 12 it is any shown in sport video fragment extracting method whole or Part steps.The electronic equipment can be used in the video acquisition device 110 in implementation environment shown in Fig. 1, perform Figure 13 institutes The all or part of step of the extracting method for the sport video fragment shown.The electronic equipment includes:
Processor;
Memory for storing processor-executable instruction;
Wherein, the processor is configured as performing the extracting method of the sport video fragment described in above-described embodiment.
The concrete mode of the computing device operation of electronic equipment in the embodiment is in the relevant sport video piece Detailed description is performed in the embodiment of the extracting method of section, explanation will be not set forth in detail herein.
In the exemplary embodiment, a kind of storage medium is additionally provided, the storage medium is computer-readable recording medium, For example can be to include the provisional and non-transitorycomputer readable storage medium of instruction.The storage medium is stored with computer Program, the computer program can as the sport video fragment described in computing device completes above-described embodiment extracting method.
It should be appreciated that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and And various modifications and changes can be being performed without departing from the scope.The scope of the present invention is only limited by appended claim.

Claims (10)

1. a kind of extracting method of sport video fragment, it is characterised in that methods described is applied to motion tracker, methods described Including:
Coordinate the motion tracker itself to connect the sport video gatherer process performed by video acquisition device, gather the fortune The motion state parameterses of dynamic video acquisition process, the motion state parameterses are used to describe to gather Moving Objects in sport video Athletic performance;
Determine that effective exercise present in the sport video is acted according to the motion state parameterses, obtain the effective exercise Act corresponding time point;
Corresponding time point generation video segment is acted according to the effective exercise and extracts triggering command, and is sent to the video Harvester, extracts triggering command by the video segment and indicates to be carried in the sport video that the video acquisition device is gathered The sport video fragment taken.
2. according to the method described in claim 1, it is characterised in that connect video acquisition in the routing motion tracker itself Before sport video gatherer process performed by device, the motion state parameterses for gathering the sport video gatherer process correlation, Methods described also includes:
The connection request that the video acquisition device is sent is received, the motion tracker and institute are set up according to the connection request State the radio communication between video acquisition device;
The successful connection message of the correspondence connection request is fed back to the video acquisition device after connection is completed;
The video acquisition function of receiving the video acquisition device response successful connection message return has turned on message.
3. according to the method described in claim 1, it is characterised in that described to determine the sport video according to motion state parameterses Present in effective exercise action, obtain the effective exercise and act corresponding time point, including:
The three-axis moving component obtained according to the Moving Objects by sensor continuous collecting, determines the motion of the Moving Objects Track;
The movement locus is compared with pre-stored movement locus sample;
If the movement locus of the Moving Objects and the movement locus sample matches, obtain the movement locus it is corresponding when Between point.
4. according to the method described in claim 1, it is characterised in that described to determine the sport video according to motion state parameterses Present in effective exercise action, obtain the effective exercise and act corresponding time point, including:
The three-axis moving component obtained according to the Moving Objects by sensor continuous collecting, judge the Moving Objects whether by To external force collision;
If the Moving Objects are obtained the time point by external force collision by external force collision.
5. according to the method described in claim 1, it is characterised in that described to determine the sport video according to motion state parameterses Present in effective exercise action, obtain the effective exercise and act corresponding time point, including:
The detectable signal of the Moving Objects positional information is included according to collection, it is determined that making motion pair in the presence of effective athletic performance As entering the region that the detectable signal is covered, the time point for collecting the detectable signal is obtained.
6. a kind of extracting method of sport video fragment, it is characterised in that methods described is applied to video acquisition device, the side Method includes:
The video acquisition device is coordinated itself to connect the motion state parameterses gatherer process of motion tracker, the motion shape State parameter is used to describe the athletic performance produced by Moving Objects, gathers the sport video of the Moving Objects;
The video segment extraction triggering command that the motion tracker is sent is received, the video segment extracts triggering command by institute Motion tracker is stated to be generated according to the motion state parameterses of collection;
The time point of sport video fragment to be extracted in the sport video according to indicated by the video segment extracts triggering command, The sport video fragment is extracted from the sport video.
7. method according to claim 6, it is characterised in that the collection Moving Objects sport video it Afterwards, methods described also includes:
The sport video of collection is cached, the sport video regarded if spatial cache is expired and not yet received Frequency snippet extraction triggering command, then delete the motion video data cached earliest.
8. a kind of extraction element of sport video fragment, it is characterised in that described device is applied to motion tracker, described device Including:
Data acquisition module, the sport video for coordinating the motion tracker itself to connect performed by video acquisition device is adopted Collection process, gathers the motion state parameterses of the sport video gatherer process, and the motion state parameterses are used to describe to be gathered The athletic performance of Moving Objects in sport video;
Time obtains module, for determining that effective exercise present in the sport video is moved according to the motion state parameterses Make, obtain the effective exercise and act corresponding time point;
Instruction sending module, refers to for acting corresponding time point generation video segment extraction triggering according to the effective exercise Order, and the video acquisition device is sent to, extracting triggering command by the video segment indicates the video acquisition device institute The sport video fragment being extracted in the sport video of collection.
9. a kind of electronic equipment, it is characterised in that including:
Processor;
Memory for storing processor-executable instruction;
Wherein, the processor is configured as the extraction side that perform claim requires the sport video fragment described in 1-7 any one Method.
10. a kind of computer-readable recording medium, it is characterised in that the computer-readable recording medium storage has computer journey Sequence, the computer program can carrying as the sport video fragment described in computing device completes claim 1-7 any one Take method.
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Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108549861A (en) * 2018-04-10 2018-09-18 百度在线网络技术(北京)有限公司 Point system and device
CN109076263A (en) * 2017-12-29 2018-12-21 深圳市大疆创新科技有限公司 Video data handling procedure, equipment, system and storage medium
CN109246467A (en) * 2018-08-15 2019-01-18 上海蔚来汽车有限公司 Label is to the method, apparatus of sharing video frequency, video camera and smart phone
CN109977735A (en) * 2017-12-28 2019-07-05 优酷网络技术(北京)有限公司 Move the extracting method and device of wonderful
CN110008814A (en) * 2019-01-25 2019-07-12 阿里巴巴集团控股有限公司 Method for processing video frequency, video process apparatus and electronic equipment
CN110717071A (en) * 2018-06-26 2020-01-21 北京深蓝长盛科技有限公司 Image clipping method, image clipping device, computer device, and storage medium
CN110838353A (en) * 2019-10-11 2020-02-25 科大讯飞(苏州)科技有限公司 Action matching method and related product
CN110891192A (en) * 2018-09-11 2020-03-17 传线网络科技(上海)有限公司 Video editing method and device
WO2020061875A1 (en) * 2018-09-27 2020-04-02 Intel Corporation Highlight moment identification technology in volumetric content creation systems
CN110996112A (en) * 2019-12-05 2020-04-10 成都市喜爱科技有限公司 Video editing method, device, server and storage medium
CN111031384A (en) * 2019-12-24 2020-04-17 北京多格科技有限公司 Video content display method and device
CN111147889A (en) * 2018-11-06 2020-05-12 阿里巴巴集团控股有限公司 Multimedia resource playback method and device
CN111669614A (en) * 2020-05-21 2020-09-15 成都市喜爱科技有限公司 Video shooting method, device and system
CN112969142A (en) * 2021-02-05 2021-06-15 北京深蓝长盛科技有限公司 Method and system for obtaining fastening and killing ball of badminton player
CN113499575A (en) * 2021-06-22 2021-10-15 深圳市如歌科技有限公司 Method for calling golf swing video, system and computer readable medium thereof
CN114259720A (en) * 2020-09-15 2022-04-01 荣耀终端有限公司 Action recognition method and device, terminal equipment and motion monitoring system
CN114422664A (en) * 2021-12-21 2022-04-29 成都臻识科技发展有限公司 Intelligent motion camera

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11351996A (en) * 1998-06-10 1999-12-24 Nippon Telegr & Teleph Corp <Ntt> Method and apparatus for sensor calibration and storage medium recorded with calibration program
CN201349264Y (en) * 2008-12-30 2009-11-18 深圳市同洲电子股份有限公司 Motion image processing device and system
CN103106411A (en) * 2012-12-13 2013-05-15 徐玉文 Tennis motion capturing and analyzing method
CN104935854A (en) * 2013-12-30 2015-09-23 恩智浦有限公司 Method for video recording and editing assistant
US20150352405A1 (en) * 2014-06-09 2015-12-10 TWD Sports Tech LLC Audible safety and training method for sporting equipment
CN205451436U (en) * 2015-12-25 2016-08-10 深圳市酷浪云计算有限公司 Spheroid motion tracker
CN106131627A (en) * 2016-07-07 2016-11-16 腾讯科技(深圳)有限公司 A kind of method for processing video frequency, Apparatus and system
CN106264507A (en) * 2016-08-04 2017-01-04 合肥寰景信息技术有限公司 A kind of health monitoring system based on motion capture
CN106581993A (en) * 2016-12-06 2017-04-26 郑州大学体育学院 Integrated analysis system and method of movement techniques of tennis player
US20170151464A1 (en) * 2013-08-07 2017-06-01 Wilson Sporting Goods Co. Racquet hit notification

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11351996A (en) * 1998-06-10 1999-12-24 Nippon Telegr & Teleph Corp <Ntt> Method and apparatus for sensor calibration and storage medium recorded with calibration program
CN201349264Y (en) * 2008-12-30 2009-11-18 深圳市同洲电子股份有限公司 Motion image processing device and system
CN103106411A (en) * 2012-12-13 2013-05-15 徐玉文 Tennis motion capturing and analyzing method
US20170151464A1 (en) * 2013-08-07 2017-06-01 Wilson Sporting Goods Co. Racquet hit notification
CN104935854A (en) * 2013-12-30 2015-09-23 恩智浦有限公司 Method for video recording and editing assistant
US20150352405A1 (en) * 2014-06-09 2015-12-10 TWD Sports Tech LLC Audible safety and training method for sporting equipment
CN205451436U (en) * 2015-12-25 2016-08-10 深圳市酷浪云计算有限公司 Spheroid motion tracker
CN106131627A (en) * 2016-07-07 2016-11-16 腾讯科技(深圳)有限公司 A kind of method for processing video frequency, Apparatus and system
CN106264507A (en) * 2016-08-04 2017-01-04 合肥寰景信息技术有限公司 A kind of health monitoring system based on motion capture
CN106581993A (en) * 2016-12-06 2017-04-26 郑州大学体育学院 Integrated analysis system and method of movement techniques of tennis player

Cited By (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109977735A (en) * 2017-12-28 2019-07-05 优酷网络技术(北京)有限公司 Move the extracting method and device of wonderful
CN109076263A (en) * 2017-12-29 2018-12-21 深圳市大疆创新科技有限公司 Video data handling procedure, equipment, system and storage medium
WO2019127332A1 (en) * 2017-12-29 2019-07-04 深圳市大疆创新科技有限公司 Video data processing method, device and system, and storage medium
US11270736B2 (en) 2017-12-29 2022-03-08 SZ DJI Technology Co., Ltd. Video data processing method, device, system, and storage medium
CN113395416A (en) * 2017-12-29 2021-09-14 深圳市大疆创新科技有限公司 Video data processing method, device, system and storage medium
CN108549861A (en) * 2018-04-10 2018-09-18 百度在线网络技术(北京)有限公司 Point system and device
CN110717071A (en) * 2018-06-26 2020-01-21 北京深蓝长盛科技有限公司 Image clipping method, image clipping device, computer device, and storage medium
CN109246467A (en) * 2018-08-15 2019-01-18 上海蔚来汽车有限公司 Label is to the method, apparatus of sharing video frequency, video camera and smart phone
CN110891192A (en) * 2018-09-11 2020-03-17 传线网络科技(上海)有限公司 Video editing method and device
CN110891192B (en) * 2018-09-11 2021-10-15 阿里巴巴(中国)有限公司 Video editing method and device
US11610399B2 (en) 2018-09-27 2023-03-21 Intel Corporation Highlight moment identification technology in volumetric content creation systems
WO2020061875A1 (en) * 2018-09-27 2020-04-02 Intel Corporation Highlight moment identification technology in volumetric content creation systems
CN111147889A (en) * 2018-11-06 2020-05-12 阿里巴巴集团控股有限公司 Multimedia resource playback method and device
CN111147889B (en) * 2018-11-06 2022-09-27 阿里巴巴集团控股有限公司 Multimedia resource playback method and device
CN110008814A (en) * 2019-01-25 2019-07-12 阿里巴巴集团控股有限公司 Method for processing video frequency, video process apparatus and electronic equipment
CN110838353A (en) * 2019-10-11 2020-02-25 科大讯飞(苏州)科技有限公司 Action matching method and related product
CN110838353B (en) * 2019-10-11 2023-11-21 科大讯飞(苏州)科技有限公司 Action matching method and related product
WO2021109952A1 (en) * 2019-12-05 2021-06-10 成都市喜爱科技有限公司 Video editing method, apparatus and server, and computer readable storage medium
CN110996112A (en) * 2019-12-05 2020-04-10 成都市喜爱科技有限公司 Video editing method, device, server and storage medium
CN111031384A (en) * 2019-12-24 2020-04-17 北京多格科技有限公司 Video content display method and device
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