Pre-Trained Object Class Recognizers

Micro Focus may provide pre-trained recognizers that you can use with Media Server to recognize objects in images and videos.

The following recognizers are currently available, in the package MediaServerPretrainedModels_<VERSION>_COMMON.zip. When you download this package, ensure that <VERSION> matches the version of Media Server that you are using.

For information about the different types of recognizers, see Recognizer Types. For information about how to import a recognizer into your training database, see Import a Recognizer.

Visual Analytics

To use the following recognizers, Media Server must be able to request a visual channel from your License Server.

• ObjectClassRecognizer_CommonObjects.dat

  Recognizes common objects. This recognizer contains twenty classes across four categories:

  • (Person) person
  • (Animal) bird, cat, cow, dog, horse, sheep
  • (Vehicle) aeroplane, bicycle, boat, bus, car, motorbike, train
  • (Indoor) bottle, chair, dining table, potted plant, sofa, tv/monitor

• ObjectClassRecognizer_HeadAndShoulder.dat

  Recognizes people, in order to count them. This recognizer differs from ObjectDetector_Person.dat because it has been trained to detect only the head and shoulder region, which is useful when you want to count people in a crowded area.

• ObjectClassRecognizer_Person.dat

  Recognizes people.

• ObjectClassRecognizer_RoadScene.dat

  Recognizes cars, vans and people.

• ObjectClassRecognizer_Gen2_CommonObjects80.dat

  Recognizes 80 different types of common object. This is a generation2 recognizer and is expected to provide better accuracy than other types of recognizer, even more specialized recognizers such as ObjectClassRecognizer_Gen3_PersonCar.dat.

  The object classes are: aeroplane, apple, backpack, banana, baseball bat, baseball glove, bear, bed, bench, bicycle, bird, boat, book, bottle, bowl, broccoli, bus, cake, car, carrot, cat, cell phone, chair, clock, cow, cup, diningtable, dog, donut, elephant, fire hydrant, fork, frisbee, giraffe, hair drier, handbag, horse, hot dog, keyboard, kite, knife, laptop, microwave, motorbike, mouse, orange, oven, parking meter, person, pizza, pottedplant, refrigerator, remote, sandwich, scissors, sheep, sink, skateboard, skis, snowboard, sofa, spoon, sports ball, stop sign, suitcase, surfboard, teddy bear, tennis racket, tie, toaster, toilet, toothbrush, traffic light, train, truck, tvmonitor, umbrella, vase, wine glass, zebra.

• ObjectClassRecognizer_Gen3_CommonObjects20.dat

  Recognizes common objects. The classes are the same as for the recognizer ObjectClassRecognizer_CommonObjects.dat, but this is a generation3 recognizer that provides faster recognition than other types of recognizer.

• ObjectClassRecognizer_Gen3_PersonCar.dat

  Recognizes people and cars. This is a generation3 recognizer that provides faster recognition than other types of recognizer.

Surveillance Analytics

To use the following recognizers, Media Server must be able to request a visual or surveillance channel from your License Server.

• ObjectClassRecognizer_Gen2_Surveillance.dat

  Intended for tracking objects as part of a surveillance configuration. The object classes are: person, car, bicycle, truck, motorcycle, bus.