… , an automatic object classification technique on pedestrian walkways termed BGRODL-OC …
algorithm is to recognize the presence of pedestrians and objects in the surveillance video. It …

… processes namely object classification and object detection, … anomaly detection technique
in pedestrian walkways (DLADT-… classify the various anomalies that exist in the pedestrian …

… for the recognition and classification of different anomalies present in the pedestrian walkway
like … encompasses PFPN based object detection, SAE based object classification, and CBA …

… classified the existence of objects in a region as an anomaly or not. It suffered from some
issues such as numerous spatial locations and aspect ratios of objects … a faster object detection …

… on a real case study having pedestrian urban walkways as objects of study. We end this …
) " related to the classification of a set of walkways in terms of microclimate characteristics "…

… classification tasks through models using TensorFlow Object … of pedestrian road photographs,
and conducted classification … With respect to the classification networks, Cha et al. (2017) …

… which contains a functional object, and, as a consequence, splits the classification task into
classifiers … For example, most non-users moved along the walkway bordering the kiosk in the …

… to classify objects such as bicyclists in addition to pedestrians … of bicyclists and pedestrians
in the University walkway. Both … system for moving object classification in surveillance videos,…

… object classification. In this paper, we employ similar methods to learn discriminative bicycle
and pedestrian dictionaries and use them to classify … walkway, because pedestrians moved …

… facilitate route planning around congestion or to avoid isolated walkways. It can also detect
… object classification, not total counts of pedestrians in a scene. For this reason, pedestrian …