Papers by Abdullah E Agca
International Conference on Computing and Machine Intelligence, 2021
Waste management is one of the major problems of the modern cities. Increasing the effectiveness ... more Waste management is one of the major problems of the modern cities. Increasing the effectiveness of the recycling processes helps to reduce the amount of the waste needed to store, to improve the quality of life in the city, and to preserve economical values. Modern neural network-based object detection methods are used to automatize the recyclable waste segregation. In this paper, we proposed a novel waste localization and classification method that works on video streams of unconditional environments. The method uses a variant of Inception architecture and faster R-CNN algorithm to detect the recyclable items. Spatio-temporal information is used to enhance the classification accuracy on varying illumination and backgrounds by adopting an object tracking algorithm. The experiments showed that the proposed method achieves promising results on difficult scenes and different kinds of recyclable objects.
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Papers by Abdullah E Agca