Epilepsy affects approximately 50 million people worldwide, 30% of which suffer from refractory epilepsy and recurring seizures, which may contribute to higher anxiety levels and poorer quality of life. Seizure detection may contribute to addressing some of the challenges associated with this condition, by providing information to health professionals regarding seizure frequency, type, and/or location in the brain, thereby improving diagnostic accuracy and medication adjustment, and alerting caregivers or emergency services of dangerous episodes. This work proposes a video-based seizure detection method that ensured unobtrusiveness and privacy preservation, as well as novel approaches to reduce confounds and increase reliability. See more.