Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

The popularity of deep reinforcement learning (DRL) applications in economics has
increased exponentially. DRL, through a wide range of capabilities from reinforcement …

With the development of deep learning (DL) frameworks in the field of pattern recognition,
DL-based algorithms have outperformed handcrafted feature (HF)-based ones in various …

This paper proposes a simple and effective single-shot detector model to detect and count
cars in aerial images. The proposed model, called heatmap learner convolutional neural …

At present, intelligent computing applications are widely used in different domains, including
retail stores. The analysis of customer behaviour has become crucial for the benefit of both …

Here, we examine the extension of smart retailing from the indoor confines of stores,
outward to high streets. We explore how several technologies at the union of retail …

At a grocery store, product supply management is critical to its employee's ability to operate
productively. To find the right time for updating the item in terms of design/replenishment …

An efficient store layout presents merchandise to attract customer attention and encourages
customers to walk down more aisles which exposes them to more merchandise, which has …

Ultralow-resolution infrared (IR) array sensors offer a low cost, energy efficient, and privacy-
preserving solution for people counting, with applications, such as occupancy monitoring …

Unmanned vending machines (UVMs) based on computer vision have shown huge
commercial potential in unmanned retail. Anomaly detection is the problem of recognizing …