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中文摘要：
母牛活动方式及规律的信息获取是特定阶段进行必要人工干预的重要判据之一，针对已有通过外置传感器获取信息手段的局限性，提出一种改进时空局部二值模式用于特征描述，构建视觉词典实现对视频中母牛基本行为的识别，并最终通过统计产前特定基本行为发生频次来揭示临产期规律。试验表明所提方法对90组规定视角下母牛产前行走、侧卧和回望等典型行为的平均正确识别率约为94．6％；对30组水平随机视角下拍摄的上述3种行为平均正确识别率约为88．3％。通过采集母牛临产期分娩前后约13h的视频，提出的算法识别母牛平均执行回望和侧卧的频次依次为30次和21．2次，行为发生频次体现为前低后高，在分娩前回望频次达到峰值8．8次，侧卧频次明显减低为2．2次。试验结果证明，视觉词典法能实现对母牛产期行为的识别与规律的量化描述。
英文摘要：
Information acquisition of the cow behavior modes and regulars are very important. It is one of judgments for the manual intervention in a particular period. There is certain limitation in the way of obtaining information by using external sensors. So, firstly a modified spatial-temporal local binary pattern for feature presentation was proposed. Secondly through building a visual dictionary, the cow sow- behavior were recognized on the test video. Finally, the basic rule of cow sow-behavior was studied through the statistics occurrence frequency of specific behaviors. For verifying the efficiency of the proposed method, different experimental settings were tested for recognizing the typical sow-activities such as walking, side-lying and look-backing. One was tested on 90 groups of videos under given visual angles and the other on 30 groups of videos under the random perspective ; the experiment results show that the average accuracy is 94.6% and 88.3% , respectively. The other side, a thirteen-hours video before and after delivery was using to sow-activity recognition and frequency count. The experiment results show that the average occurrence frequencies of look-backing and side-lying are 30 and 21.2, respectively. The occurrence frequencies of above two kinds of behaviors are former-low to after-high. Before delivery, the frequency of look-backing reaches to maximum 8.8 and side-lying reduces to 2.2. The results show that this method proposed reveals the basic principle of cow sow-behavior.
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