Hybrid Approach for Semantic Object Detection in Video
Object detection is the process of finding moving objects such as human beings, animals and vehicles in videos. Object detection algorithms typically use extracted features and learning algorithms to recognize instances of objects. It is commonly used in applications such as security, automated vehicle parking systems, surveillance, and image retrieval. Object detection has applications in many areas of computer vision, image retrieval and video surveillance. The input video is converted into frames. The frames were preprocessed to remove the noises from the frames.