Abstract
Dynamic Multiple object detection is significantly a difficult task in object detection. In this paper, we’ve done object detection in which there is a single object in the whole image. The CNN network has taken an image and has given the output of two things (i.e.) The class or category of the objects like a dog, person, etc. And the second is the bounding box coordinates and the detection of multiple objects in a single frame, the existing methods do not perform well. An R-CNN is a region-based convolutional network it has achieved success in region-based feature extraction, and the part filters in a DPM it is a deformable part-based model that is very suitable for detecting hidden objects.
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