Patent ID: 9613276
Date: 2017-04-04
CPC Classifications: G06K,G06T

Claim:
1. A method of automated support vector machine detection of presence of an action of a predetermined type of action from video data, the method comprising: detecting spatiotemporal interest points (STIPs) in the video data; extracting descriptors from the video data in spatiotemporal areas at the detected spatiotemporal interest points; assigning the detected spatiotemporal interest points to bins in a feature vector based on the extracted descriptors; computing bin values of the feature vector for each respective bin, the bin value of each bin comprising sum of contributions associated with descriptors that have been assigned to the bin, with a bin dependent adjustment of a size of the sum and/or the contributions of at least one of the bins dependent on the predetermined type of action; computing a support vector machine (SVM) match score from the feature vector and reference vectors for the predetermined type of action; using a parameter to control said adjustment of the size of the sum and/or the contributions, by making the size dependent on a value of the control parameter, the method comprising selecting the reference vectors and the value of the parameter, the method further comprising: