We provide an overview of recent work on distributed and agile sensing algorithms and their
implementation. Modern sensor systems with embedded processing can allow for …

Brain-inspired computer vision (BICV) has evolved rapidly in recent years and it is now
competitive with traditional CV approaches. However, most of BICV algorithms have been …

Ad-hoc networks establish communication in improvised environments without requiring any
fixed infrastructure. These networks are inherently prone to security attacks, with node …

Abstract Convolutional Neural Networks (CNNs), are nowadays present in many different
embedded solutions. One of the biggest problems related to their execution is the memory …

Object detection is a major step in several computer vision applications and a requirement
for most smart camera systems. Recent advances in hardware acceleration for real-time …

Object recognition in the visual cortex of mammals and humans has inspired many
computational object recognition models. Hierarchical model and X (HMAX) is a well‐known …

Background and Objectives: Programmable logic devices, such as Field Programmable
Gate Arrays, are well-suited for implementing biologically-inspired visual processing …

In this paper, we propose a dynamically run-time reconfigurable power aware cryptographic
processor for secure autonomous encryption. The design proposes the implementation of a …

In today's world, embedded systems have become a necessity in our daily lives. Ranging
from digital watches to factory controllers, these systems are dedicated to handle a particular …

Visual Object Search, the process of locating an object within an image, is a key task in
many automated vision systems with applications ranging from surveillance to medical …