There is tremendous scope for improving the energy efficiency of embedded vision systems
by incorporating programmable region-of-interest (ROI) readout in the image sensor design …

Both siamese network and correlation filter (CF)-based trackers have exhibited superior
performance by formulating tracking as a similarity measure problem, where a similarity map …

Recent innovations in ROI camera systems have opened up the avenue for exploring
energy optimization techniques like adaptive subsampling. Generally speaking, image …

As a challenging visual task, visual object tracking has recently been composed of the
classification and regression subtasks. The anchor-free regression network gets rid of the …

Visual tracking is a core component of intelligent transportation systems, especially for
unmanned driving and road surveillance. Numerous convolutional neural network (CNN) …

Visual tracking problem demands to efficiently perform robust classification and accurate
target state estimation over a given target at the same time. Former methods have proposed …

While existing lightweight visual trackers can run in real-time at edge devices, they face the
difficulty of object appearance changes. An effective solution to this problem is to add an …

Most trackers perform template and search region similarity matching to find the most similar
object to the template during tracking. However, they struggle to make prediction when the …

Real-time image-based object tracking from live video is of great importance for several
smart city applications like surveillance, intelligent traffic management and autonomous …

Trackers based on the IoU prediction network (IoU-Net) have shown superior performance,
which refines a coarse bounding box to an accurate one by maximizing the IoU between the …