The paper by Reichel et al. reports a simulation platform, mostly developed in SystemC, where various sources of nonidealities in mixed-signal vision chips can be evaluated in terms of their impact on computer-vision algorithms. This gives rise to a comprehensive design loop where parameters at different abstraction levels are intertwined. Kyrkou and Teocharides propose a feature-based visual search algorithm. It exploits motion, depth, and edge visual features to guide the process of object search to only the most meaningful image regions in an effort to constrain the overall data search space. As a result, the amount of data feeding the classifier is reduced. An evaluation on an FPGA-based platform for face detection indicates that the data search reduction reaches 95%. This results in a system being able to process up to 50 1024 × 768-px images per second with a notable reduction of false positives. Dziri et al. present a processing pipeline for tracking of multiple objects. It is implemented from inexpensive off-the-shelf components—Raspberry-Pi board and a RaspiCam camera—and tested on real scenarios. Despite the low complexity of the proposed methodology, the tracking quality is close to state-of-the-art results. Carraro et al. report an open-source software library dedicated to the new Kinect v2. This library is exploited in an embedded system, the NVidia Jetson TK1, giving rise to a cost-efficient RGB-D smart-camera for people detection and tracking. One of the major result is the point cloud generation performed at 22 Hz and the people detection achieved at 14 Hz. These frame rates are double and triple of those found in state-of-the-art works. Imran et al. propose solutions for various challenges in the field of embedded smart cameras. In particular, the authors investigate two low complexity and high-performance preprocessing architectures to be implemented on a FPGA for a multi-imaging node. The experiments show how such architectures can reach higher frame rate with lower memory and power consumption requirements.