Abstract: A paper oil-resistant agent composition containing a hydrocarbon group-containing polymer having a repeating unit formed from a monomer having a hydrocarbon group having 7 to 40 carbon atoms and an NH group-containing group in an amount of 80% by weight or more based on the polymer. Also disclosed is an oil-resistant paper to which the hydrocarbon group-containing polymer in the paper oil-resistant agent composition adheres, a method for producing paper which includes treating paper with the paper oil-resistant composition, and a method for producing molded pulp which includes filling a mold with the paper oil-resistant agent composition and a pulp slurry, and molding the pulp.

Abstract: A control system is designed to control an interrupter. The interrupter is started by a startup current to interrupt a main electric circuit. The startup current flows through an auxiliary electric circuit and has a current valve equal to or greater than a predetermined value. The control system includes a driving unit and a driven unit. The driving unit includes an intermediate electrical path to be connected to the main electric circuit. The driven unit is to be connected to the auxiliary electric circuit. When an abnormal current having a current value equal to or greater than a prescribed value flows through the intermediate electrical path, the driving unit uses, as a drive source for driving the driven unit, the abnormal current flowing through the intermediate electrical path. The driven unit supplies the auxiliary electric circuit with the startup current by being driven by the driving unit.

Abstract: A skeleton detection system stores a target image for use in skeleton detection, and a plurality of skeleton detection models respectively corresponding to a plurality of skeleton definition models for defining different skeletons. The skeleton detection system determines a predetermined condition for the skeleton detection of the target image, selects a first skeleton detection model from the plurality of skeleton detection models based on a result of the determination, and executes the skeleton detection of the target image by the first skeleton detection model.

Abstract: In a data driven object recognition system and object recognition method, a connection relationship between an object feature extraction unit and a plurality of task-specific identification units is stored in a connection switch according to a type of task. The connection relationship is changed based on the connection information to suppress the amount of labeling in constructing a learning data set.

Abstract: An object of the present invention is to provide a video analysis system and a video analysis method in which ownership between a person and baggage can be comprehensively determined. In a system that analyzes videos photographed by plural cameras, a detection/tracking process is performed for first and second objects using videos of plural cameras, and a relationship degree between the first and second objects is determined on the basis of the types of the first and second objects and a distance between the objects to be stored in a database.

Abstract: A connection relationship between an object feature extraction unit and a plurality of task-specific identification units is changed based on connection information stored in a connection switch according to a type of a task.