Method and system for carrying out face fatigue state recognition by relative coverage element reduction
A fatigue state and face technology, which is applied in the system field of face fatigue state recognition, can solve the problems of face fatigue expression recognition, too many rules and a large amount of calculation, etc., and achieve excellent generalization performance, fast classification speed, and calculation Small amount of effect
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specific Embodiment approach 1
[0046] Specific implementation mode one: combine figure 1 To describe this embodiment,
[0047] The method for identifying the fatigue state of a human face by using relative coverage element reduction described in this embodiment includes the following steps:
[0048] 1. Train a relative coverage meta-classifier:
[0049] Step 1, obtain the human face video frame of the video image in the video recording device;
[0050] Step 2, detect the face core area in each face video frame;
[0051] Step 3, extracting the features of the core area of the face;
[0052] Step 4, based on the state of the face in each face video frame, classify each frame of image;
[0053] Step 5, combine the features of the core area of the face with the corresponding annotations to form labeled training samples, and form a training sample set;
[0054] Step 6, generating a neighborhood covering element for each sample in the training sample set, and counting the samples covered by the neighborhoo...
specific Embodiment approach 2
[0067] The neighborhood covering element described in step 6 of this embodiment is as follows:
[0068]
[0069] where x i ,x j Represents two arbitrary samples without category labels (only feature attributes and no category attributes); U represents the sample set; Δ(x i ,x j ) is a distance function, and δ is a function that depends on x i The parameter that represents the distance threshold.
[0070] Other steps and parameters are the same as those in the first embodiment.
specific Embodiment approach 3
[0072] Δ(x) described in step 6 described in this embodiment i ,x j ) is calculated using the Euclidean distance.
[0073] Other steps and parameters are the same as in the second embodiment.
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Abstract
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